Add files using upload-large-folder tool

README.md

@@ -0,0 +1,136 @@
+---
+datasets:
+- nvidia/OpenCodeReasoning-2
+- GetSoloTech/Code-Reasoning
+base_model:
+- openai/gpt-oss-20b
+library_name: transformers
+tags:
+- code-reasoning
+- vllm
+pipeline_tag: text-generation
+---
+
+<img src="gpt-oss-reasoning.png" width="700"/>
+
+### Overview
+
+- Base model: `openai/gpt-oss-20b`
+- Objective: Supervised fine-tuning for competitive programming and algorithmic reasoning
+- Dataset: `nvidia/OpenCodeReasoning-2` (OCR-2), combining `python` and `cpp` splits. Each sample reconstructs the upstream question and uses the dataset's `r1_generation` as the assistant response
+- Context length: 4096 tokens
+- Training method: LoRA SFT via TRL `SFTTrainer`
+
+### Intended Use
+
+- Intended: Generating Python/C++ solutions and reasoning for competitive programming tasks
+- Out of scope: Safety-critical applications. May hallucinate or produce incorrect/inefficient code
+
+### Prompt Format
+
+This model was trained in a chat format. Recommended structure:
+
+```python
+messages = [
+    {"role": "system", "content": "You are an expert competitive programmer. Read the problem and produce a correct, efficient solution. Include reasoning if helpful."},
+    {"role": "user", "content": problem_text},
+]
+
+prompt = tokenizer.apply_chat_template(
+    messages,
+    tokenize=False,
+    add_generation_prompt=True,
+)
+```
+
+If you prefer plain text, place the problem text after a brief instruction, but chat format generally yields better results.
+
+### Reasoning Effort
+
+Specify reasoning effort in `apply_chat_template` (supported values: "low", "medium" (default), or "high"):
+
+```python
+messages = [
+    {"role": "system", "content": "Always respond in riddles"},
+    {"role": "user", "content": "Explain why the meaning of life is 42"},
+]
+
+inputs = tokenizer.apply_chat_template(
+    messages,
+    add_generation_prompt=True,
+    return_tensors="pt",
+    return_dict=True,
+    reasoning_effort="high",
+).to(model.device)
+
+generated = model.generate(**inputs, max_new_tokens=500)
+print(tokenizer.decode(generated[0][inputs["input_ids"].shape[-1]:]))
+```
+
+### Quick Start (Transformers)
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import torch
+
+model_id = "GetSoloTech/gpt-oss-code-reasoning-20b"
+
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(
+    model_id,
+    torch_dtype=auto,
+    device_map="auto",
+)
+
+problem_text = """
+You are given an array of integers ... (your problem here)
+"""
+
+messages = [
+    {"role": "system", "content": "You are an expert competitive programmer. Read the problem and produce a correct, efficient solution. Include reasoning if helpful."},
+    {"role": "user", "content": problem_text},
+]
+
+input_text = tokenizer.apply_chat_template(
+    messages,
+    tokenize=False,
+    add_generation_prompt=True,
+    reasoning_effort="medium",
+)
+
+inputs = tokenizer([input_text], return_tensors="pt").to(model.device)
+outputs = model.generate(
+    **inputs,
+    max_new_tokens=768,
+    temperature=0.3,
+    top_p=0.9,
+    repetition_penalty=1.1,
+)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+
+### Generation Tips
+
+- Reasoning style: Lower temperature (0.2–0.5) for clearer step-by-step reasoning
+- Length: Use `max_new_tokens` 512–1024 for full solutions; shorter for hints
+- Stop tokens: If you only want final code, consider post-processing the model output to extract the last code block
+
+
+### Dataset Construction Notes
+
+- Source: `nvidia/OpenCodeReasoning-2` with `python` and `cpp` splits
+- For each split, the script:
+  - Shuffles and selects up to `--take_samples` examples per split
+  - Reconstructs the problem statement from upstream benchmarks (TACO, APPS, DeepMind CodeContests, `open-r1/codeforces`)
+  - Filters out rows with missing/empty questions or assistant responses
+  - Builds chat-style `messages` and a formatted `text` field with the tokenizer's chat template
+- The final training set is the concatenation of both splits, followed by an optional `train_test_split` according to `--eval_ratio`
+
+
+### Acknowledgements
+
+- Unsloth (`FastLanguageModel`) for efficient 4-bit loading and fast PEFT
+- TRL (`SFTTrainer`) for straightforward supervised fine-tuning
+- NVIDIA OpenCodeReasoning-2 and upstream benchmarks (TACO, APPS, CodeContests, `open-r1/codeforces`)
+
+---

config.json

@@ -0,0 +1,77 @@
+{
+  "architectures": [
+    "GptOssForCausalLM"
+  ],
+  "attention_bias": true,
+  "attention_dropout": 0.0,
+  "eos_token_id": 200002,
+  "experts_per_token": 4,
+  "head_dim": 64,
+  "hidden_act": "silu",
+  "hidden_size": 2880,
+  "initial_context_length": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 2880,
+  "layer_types": [
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "full_attention"
+  ],
+  "max_position_embeddings": 131072,
+  "model_type": "gpt_oss",
+  "num_attention_heads": 64,
+  "num_experts_per_tok": 4,
+  "num_hidden_layers": 24,
+  "num_key_value_heads": 8,
+  "num_local_experts": 32,
+  "output_router_logits": false,
+  "pad_token_id": 200017,
+  "quantization_config": {
+    "modules_to_not_convert": [
+      "model.layers.*.self_attn",
+      "model.layers.*.mlp.router",
+      "model.embed_tokens",
+      "lm_head"
+    ],
+    "quant_method": "mxfp4"
+  },
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": {
+    "beta_fast": 32.0,
+    "beta_slow": 1.0,
+    "factor": 32.0,
+    "original_max_position_embeddings": 4096,
+    "rope_type": "yarn",
+    "truncate": false
+  },
+  "rope_theta": 150000,
+  "router_aux_loss_coef": 0.9,
+  "sliding_window": 128,
+  "swiglu_limit": 7.0,
+  "tie_word_embeddings": false,
+  "transformers_version": "4.55.0",
+  "unsloth_fixed": true,
+  "use_cache": true,
+  "vocab_size": 201088
+}

generation_config.json

@@ -0,0 +1,11 @@
+{
+  "bos_token_id": 199998,
+  "do_sample": true,
+  "eos_token_id": [
+    200002,
+    199999
+  ],
+  "max_length": 131072,
+  "pad_token_id": 199999,
+  "transformers_version": "4.56.0.dev0"
+}

model-00000-of-00002.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6da22bf1fbff1e5ace0038a0525b8d389cb219e32255434d1f6bbab221fa80d1
+size 4792272520

model-00001-of-00002.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:27a9456f094cf88fd86b5df602f97b8b82bfbf741ffefefd636dfaa676ff006f
+size 4798702216

model-00002-of-00002.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:83252e49559aa0a4fb54db7d4cf360863d4c53e4e45593cebec56b5a6441e80b
+size 4170342264

model.safetensors.index.json

@@ -0,0 +1 @@
+{"metadata": {"total_size": 13761264768}, "weight_map": {"model.layers.0.input_layernorm.weight": "model-00000-of-00002.safetensors", "model.layers.0.self_attn.o_proj.bias": "model-00000-of-00002.safetensors", "model.layers.0.self_attn.o_proj.weight": "model-00000-of-00002.safetensors", "model.layers.0.self_attn.q_proj.bias": "model-00000-of-00002.safetensors", "model.layers.0.self_attn.k_proj.bias": "model-00000-of-00002.safetensors", "model.layers.0.self_attn.v_proj.bias": "model-00000-of-00002.safetensors", "model.layers.0.self_attn.q_proj.weight": "model-00000-of-00002.safetensors", "model.layers.0.self_attn.k_proj.weight": "model-00000-of-00002.safetensors", "model.layers.0.self_attn.v_proj.weight": "model-00000-of-00002.safetensors", "model.layers.0.self_attn.sinks": "model-00000-of-00002.safetensors", "model.layers.0.mlp.router.bias": "model-00000-of-00002.safetensors", "model.layers.0.mlp.router.weight": "model-00000-of-00002.safetensors", "model.layers.0.mlp.experts.gate_up_proj_bias": "model-00000-of-00002.safetensors", "model.layers.0.mlp.experts.gate_up_proj_blocks": "model-00000-of-00002.safetensors", "model.layers.0.mlp.experts.gate_up_proj_scales": "model-00000-of-00002.safetensors", "model.layers.0.mlp.experts.down_proj_bias": "model-00000-of-00002.safetensors", "model.layers.0.mlp.experts.down_proj_blocks": "model-00000-of-00002.safetensors", "model.layers.0.mlp.experts.down_proj_scales": "model-00000-of-00002.safetensors", "model.layers.0.post_attention_layernorm.weight": "model-00000-of-00002.safetensors", "model.layers.1.input_layernorm.weight": "model-00000-of-00002.safetensors", "model.layers.1.self_attn.o_proj.bias": "model-00000-of-00002.safetensors", "model.layers.1.self_attn.o_proj.weight": "model-00000-of-00002.safetensors", "model.layers.1.self_attn.q_proj.bias": "model-00000-of-00002.safetensors", "model.layers.1.self_attn.k_proj.bias": "model-00000-of-00002.safetensors", "model.layers.1.self_attn.v_proj.bias": "model-00000-of-00002.safetensors", "model.layers.1.self_attn.q_proj.weight": "model-00000-of-00002.safetensors", "model.layers.1.self_attn.k_proj.weight": "model-00000-of-00002.safetensors", "model.layers.1.self_attn.v_proj.weight": "model-00000-of-00002.safetensors", "model.layers.1.self_attn.sinks": "model-00000-of-00002.safetensors", "model.layers.1.mlp.router.bias": "model-00000-of-00002.safetensors", "model.layers.1.mlp.router.weight": "model-00000-of-00002.safetensors", "model.layers.1.mlp.experts.gate_up_proj_bias": "model-00000-of-00002.safetensors", "model.layers.1.mlp.experts.gate_up_proj_blocks": "model-00000-of-00002.safetensors", "model.layers.1.mlp.experts.gate_up_proj_scales": "model-00000-of-00002.safetensors", "model.layers.1.mlp.experts.down_proj_bias": "model-00000-of-00002.safetensors", "model.layers.1.mlp.experts.down_proj_blocks": "model-00000-of-00002.safetensors", "model.layers.1.mlp.experts.down_proj_scales": "model-00000-of-00002.safetensors", "model.layers.1.post_attention_layernorm.weight": "model-00000-of-00002.safetensors", "model.layers.10.input_layernorm.weight": "model-00000-of-00002.safetensors", "model.layers.10.self_attn.o_proj.bias": "model-00000-of-00002.safetensors", "model.layers.10.self_attn.o_proj.weight": "model-00000-of-00002.safetensors", "model.layers.10.self_attn.q_proj.bias": "model-00000-of-00002.safetensors", "model.layers.10.self_attn.k_proj.bias": "model-00000-of-00002.safetensors", "model.layers.10.self_attn.v_proj.bias": "model-00000-of-00002.safetensors", "model.layers.10.self_attn.q_proj.weight": "model-00000-of-00002.safetensors", "model.layers.10.self_attn.k_proj.weight": "model-00000-of-00002.safetensors", "model.layers.10.self_attn.v_proj.weight": "model-00000-of-00002.safetensors", "model.layers.10.self_attn.sinks": "model-00000-of-00002.safetensors", "model.layers.10.mlp.router.bias": "model-00000-of-00002.safetensors", "model.layers.10.mlp.router.weight": "model-00000-of-00002.safetensors", "model.layers.10.mlp.experts.gate_up_proj_bias": "model-00000-of-00002.safetensors", "model.layers.10.mlp.experts.gate_up_proj_blocks": "model-00000-of-00002.safetensors", "model.layers.10.mlp.experts.gate_up_proj_scales": "model-00000-of-00002.safetensors", "model.layers.10.mlp.experts.down_proj_bias": "model-00000-of-00002.safetensors", "model.layers.10.mlp.experts.down_proj_blocks": "model-00000-of-00002.safetensors", "model.layers.10.mlp.experts.down_proj_scales": "model-00000-of-00002.safetensors", "model.layers.10.post_attention_layernorm.weight": "model-00000-of-00002.safetensors", "model.layers.11.input_layernorm.weight": "model-00000-of-00002.safetensors", "model.layers.11.self_attn.o_proj.bias": "model-00000-of-00002.safetensors", "model.layers.11.self_attn.o_proj.weight": "model-00000-of-00002.safetensors", "model.layers.11.self_attn.q_proj.bias": "model-00000-of-00002.safetensors", "model.layers.11.self_attn.k_proj.bias": "model-00000-of-00002.safetensors", "model.layers.11.self_attn.v_proj.bias": "model-00000-of-00002.safetensors", "model.layers.11.self_attn.q_proj.weight": "model-00000-of-00002.safetensors", "model.layers.11.self_attn.k_proj.weight": "model-00000-of-00002.safetensors", "model.layers.11.self_attn.v_proj.weight": "model-00000-of-00002.safetensors", "model.layers.11.self_attn.sinks": "model-00000-of-00002.safetensors", "model.layers.11.mlp.router.bias": "model-00000-of-00002.safetensors", "model.layers.11.mlp.router.weight": "model-00000-of-00002.safetensors", "model.layers.11.mlp.experts.gate_up_proj_bias": "model-00000-of-00002.safetensors", "model.layers.11.mlp.experts.gate_up_proj_blocks": "model-00000-of-00002.safetensors", "model.layers.11.mlp.experts.gate_up_proj_scales": "model-00000-of-00002.safetensors", "model.layers.11.mlp.experts.down_proj_bias": "model-00000-of-00002.safetensors", "model.layers.11.mlp.experts.down_proj_blocks": "model-00000-of-00002.safetensors", "model.layers.11.mlp.experts.down_proj_scales": "model-00000-of-00002.safetensors", "model.layers.11.post_attention_layernorm.weight": "model-00000-of-00002.safetensors", "model.layers.12.input_layernorm.weight": "model-00000-of-00002.safetensors", "model.layers.12.self_attn.o_proj.bias": "model-00000-of-00002.safetensors", "model.layers.12.self_attn.o_proj.weight": "model-00000-of-00002.safetensors", "model.layers.12.self_attn.q_proj.bias": "model-00000-of-00002.safetensors", "model.layers.12.self_attn.k_proj.bias": "model-00000-of-00002.safetensors", "model.layers.12.self_attn.v_proj.bias": "model-00000-of-00002.safetensors", "model.layers.12.self_attn.q_proj.weight": "model-00000-of-00002.safetensors", "model.layers.12.self_attn.k_proj.weight": "model-00000-of-00002.safetensors", "model.layers.12.self_attn.v_proj.weight": "model-00000-of-00002.safetensors", "model.layers.12.self_attn.sinks": "model-00000-of-00002.safetensors", "model.layers.12.mlp.router.bias": "model-00000-of-00002.safetensors", "model.layers.12.mlp.router.weight": "model-00000-of-00002.safetensors", "model.layers.12.mlp.experts.gate_up_proj_bias": "model-00000-of-00002.safetensors", "model.layers.12.mlp.experts.gate_up_proj_blocks": "model-00000-of-00002.safetensors", "model.layers.12.mlp.experts.gate_up_proj_scales": "model-00000-of-00002.safetensors", "model.layers.12.mlp.experts.down_proj_bias": "model-00000-of-00002.safetensors", "model.layers.12.mlp.experts.down_proj_blocks": "model-00000-of-00002.safetensors", "model.layers.12.mlp.experts.down_proj_scales": "model-00000-of-00002.safetensors", "model.layers.12.post_attention_layernorm.weight": "model-00000-of-00002.safetensors", "model.layers.13.input_layernorm.weight": "model-00000-of-00002.safetensors", "model.layers.13.self_attn.o_proj.bias": "model-00000-of-00002.safetensors", "model.layers.13.self_attn.o_proj.weight": "model-00000-of-00002.safetensors", "model.layers.13.self_attn.q_proj.bias": "model-00000-of-00002.safetensors", "model.layers.13.self_attn.k_proj.bias": "model-00000-of-00002.safetensors", "model.layers.13.self_attn.v_proj.bias": "model-00000-of-00002.safetensors", "model.layers.13.self_attn.q_proj.weight": "model-00000-of-00002.safetensors", "model.layers.13.self_attn.k_proj.weight": "model-00000-of-00002.safetensors", "model.layers.13.self_attn.v_proj.weight": "model-00000-of-00002.safetensors", "model.layers.13.self_attn.sinks": "model-00000-of-00002.safetensors", "model.layers.13.mlp.router.bias": "model-00000-of-00002.safetensors", "model.layers.13.mlp.router.weight": "model-00000-of-00002.safetensors", "model.layers.13.mlp.experts.gate_up_proj_bias": "model-00000-of-00002.safetensors", "model.layers.13.mlp.experts.gate_up_proj_blocks": "model-00000-of-00002.safetensors", "model.layers.13.mlp.experts.gate_up_proj_scales": "model-00000-of-00002.safetensors", "model.layers.13.mlp.experts.down_proj_bias": "model-00000-of-00002.safetensors", "model.layers.13.mlp.experts.down_proj_blocks": "model-00000-of-00002.safetensors", "model.layers.13.mlp.experts.down_proj_scales": "model-00000-of-00002.safetensors", "model.layers.13.post_attention_layernorm.weight": "model-00000-of-00002.safetensors", "model.layers.14.input_layernorm.weight": "model-00000-of-00002.safetensors", "model.layers.14.self_attn.o_proj.bias": "model-00000-of-00002.safetensors", "model.layers.14.self_attn.o_proj.weight": "model-00000-of-00002.safetensors", "model.layers.14.self_attn.q_proj.bias": "model-00000-of-00002.safetensors", "model.layers.14.self_attn.k_proj.bias": "model-00000-of-00002.safetensors", "model.layers.14.self_attn.v_proj.bias": "model-00000-of-00002.safetensors", "model.layers.14.self_attn.q_proj.weight": "model-00000-of-00002.safetensors", "model.layers.14.self_attn.k_proj.weight": "model-00000-of-00002.safetensors", "model.layers.14.self_attn.v_proj.weight": "model-00000-of-00002.safetensors", "model.layers.14.self_attn.sinks": "model-00000-of-00002.safetensors", "model.layers.14.mlp.router.bias": "model-00000-of-00002.safetensors", "model.layers.14.mlp.router.weight": "model-00000-of-00002.safetensors", "model.layers.14.mlp.experts.gate_up_proj_bias": "model-00000-of-00002.safetensors", "model.layers.14.mlp.experts.gate_up_proj_blocks": "model-00000-of-00002.safetensors", "model.layers.14.mlp.experts.gate_up_proj_scales": "model-00000-of-00002.safetensors", "model.layers.14.mlp.experts.down_proj_bias": "model-00000-of-00002.safetensors", "model.layers.14.mlp.experts.down_proj_blocks": "model-00000-of-00002.safetensors", "model.layers.14.mlp.experts.down_proj_scales": "model-00000-of-00002.safetensors", "model.layers.14.post_attention_layernorm.weight": "model-00000-of-00002.safetensors", "model.layers.15.input_layernorm.weight": "model-00000-of-00002.safetensors", "model.layers.15.self_attn.o_proj.bias": "model-00000-of-00002.safetensors", "model.layers.15.self_attn.o_proj.weight": "model-00000-of-00002.safetensors", "model.layers.15.self_attn.q_proj.bias": "model-00000-of-00002.safetensors", "model.layers.15.self_attn.k_proj.bias": "model-00000-of-00002.safetensors", "model.layers.15.self_attn.v_proj.bias": "model-00000-of-00002.safetensors", "model.layers.15.self_attn.q_proj.weight": "model-00000-of-00002.safetensors", "model.layers.15.self_attn.k_proj.weight": "model-00000-of-00002.safetensors", "model.layers.15.self_attn.v_proj.weight": "model-00000-of-00002.safetensors", "model.layers.15.self_attn.sinks": "model-00000-of-00002.safetensors", "model.layers.15.mlp.router.bias": "model-00000-of-00002.safetensors", "model.layers.15.mlp.router.weight": "model-00000-of-00002.safetensors", "model.layers.15.mlp.experts.gate_up_proj_bias": "model-00000-of-00002.safetensors", "model.layers.15.mlp.experts.gate_up_proj_blocks": "model-00000-of-00002.safetensors", "model.layers.15.mlp.experts.gate_up_proj_scales": "model-00000-of-00002.safetensors", "model.layers.15.mlp.experts.down_proj_bias": "model-00000-of-00002.safetensors", "model.layers.15.mlp.experts.down_proj_blocks": "model-00000-of-00002.safetensors", "model.layers.15.mlp.experts.down_proj_scales": "model-00000-of-00002.safetensors", "model.layers.15.post_attention_layernorm.weight": "model-00000-of-00002.safetensors", "model.layers.16.input_layernorm.weight": "model-00000-of-00002.safetensors", "model.layers.16.self_attn.o_proj.bias": "model-00000-of-00002.safetensors", "model.layers.16.self_attn.o_proj.weight": "model-00000-of-00002.safetensors", "model.layers.16.self_attn.q_proj.bias": "model-00000-of-00002.safetensors", "model.layers.16.self_attn.k_proj.bias": "model-00000-of-00002.safetensors", "model.layers.16.self_attn.v_proj.bias": "model-00000-of-00002.safetensors", "model.layers.16.self_attn.q_proj.weight": "model-00000-of-00002.safetensors", "model.layers.16.self_attn.k_proj.weight": "model-00000-of-00002.safetensors", "model.layers.16.self_attn.v_proj.weight": "model-00000-of-00002.safetensors", "model.layers.16.self_attn.sinks": "model-00000-of-00002.safetensors", "model.layers.16.mlp.router.bias": "model-00000-of-00002.safetensors", "model.layers.16.mlp.router.weight": "model-00000-of-00002.safetensors", "model.layers.16.mlp.experts.gate_up_proj_bias": "model-00000-of-00002.safetensors", "model.layers.16.mlp.experts.gate_up_proj_blocks": "model-00000-of-00002.safetensors", "model.layers.16.mlp.experts.gate_up_proj_scales": "model-00000-of-00002.safetensors", "model.layers.16.mlp.experts.down_proj_bias": "model-00000-of-00002.safetensors", "model.layers.16.mlp.experts.down_proj_blocks": "model-00000-of-00002.safetensors", "model.layers.16.mlp.experts.down_proj_scales": "model-00000-of-00002.safetensors", "model.layers.16.post_attention_layernorm.weight": "model-00000-of-00002.safetensors", "model.layers.17.input_layernorm.weight": "model-00000-of-00002.safetensors", "model.layers.17.self_attn.o_proj.bias": "model-00000-of-00002.safetensors", "model.layers.17.self_attn.o_proj.weight": "model-00000-of-00002.safetensors", "model.layers.17.self_attn.q_proj.bias": "model-00000-of-00002.safetensors", "model.layers.17.self_attn.k_proj.bias": "model-00000-of-00002.safetensors", "model.layers.17.self_attn.v_proj.bias": "model-00000-of-00002.safetensors", "model.layers.17.self_attn.q_proj.weight": "model-00000-of-00002.safetensors", "model.layers.17.self_attn.k_proj.weight": "model-00000-of-00002.safetensors", "model.layers.17.self_attn.v_proj.weight": "model-00000-of-00002.safetensors", "model.layers.17.self_attn.sinks": "model-00000-of-00002.safetensors", "model.layers.17.mlp.router.bias": "model-00000-of-00002.safetensors", "model.layers.17.mlp.router.weight": "model-00000-of-00002.safetensors", "model.layers.17.mlp.experts.gate_up_proj_bias": "model-00000-of-00002.safetensors", "model.layers.17.mlp.experts.gate_up_proj_blocks": "model-00000-of-00002.safetensors", "model.layers.17.mlp.experts.gate_up_proj_scales": "model-00000-of-00002.safetensors", "model.layers.17.mlp.experts.down_proj_bias": "model-00000-of-00002.safetensors", "model.layers.17.mlp.experts.down_proj_blocks": "model-00000-of-00002.safetensors", "model.layers.17.mlp.experts.down_proj_scales": "model-00000-of-00002.safetensors", "model.layers.17.post_attention_layernorm.weight": "model-00000-of-00002.safetensors", "model.layers.18.input_layernorm.weight": "model-00000-of-00002.safetensors", "model.layers.18.self_attn.o_proj.bias": "model-00000-of-00002.safetensors", "model.layers.18.self_attn.o_proj.weight": "model-00000-of-00002.safetensors", "model.layers.18.self_attn.q_proj.bias": "model-00000-of-00002.safetensors", "model.layers.18.self_attn.k_proj.bias": "model-00000-of-00002.safetensors", "model.layers.18.self_attn.v_proj.bias": "model-00000-of-00002.safetensors", "model.layers.18.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", "model.layers.18.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", "model.layers.18.self_attn.v_proj.weight": "model-00001-of-00002.safetensors", "model.layers.18.self_attn.sinks": "model-00001-of-00002.safetensors", "model.layers.18.mlp.router.bias": "model-00001-of-00002.safetensors", "model.layers.18.mlp.router.weight": "model-00001-of-00002.safetensors", "model.layers.18.mlp.experts.gate_up_proj_bias": "model-00001-of-00002.safetensors", "model.layers.18.mlp.experts.gate_up_proj_blocks": "model-00001-of-00002.safetensors", "model.layers.18.mlp.experts.gate_up_proj_scales": "model-00001-of-00002.safetensors", "model.layers.18.mlp.experts.down_proj_bias": "model-00001-of-00002.safetensors", "model.layers.18.mlp.experts.down_proj_blocks": "model-00001-of-00002.safetensors", "model.layers.18.mlp.experts.down_proj_scales": "model-00001-of-00002.safetensors", "model.layers.18.post_attention_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.19.input_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.19.self_attn.o_proj.bias": "model-00001-of-00002.safetensors", "model.layers.19.self_attn.o_proj.weight": "model-00001-of-00002.safetensors", "model.layers.19.self_attn.q_proj.bias": "model-00001-of-00002.safetensors", "model.layers.19.self_attn.k_proj.bias": "model-00001-of-00002.safetensors", "model.layers.19.self_attn.v_proj.bias": "model-00001-of-00002.safetensors", "model.layers.19.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", "model.layers.19.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", "model.layers.19.self_attn.v_proj.weight": "model-00001-of-00002.safetensors", "model.layers.19.self_attn.sinks": "model-00001-of-00002.safetensors", "model.layers.19.mlp.router.bias": "model-00001-of-00002.safetensors", "model.layers.19.mlp.router.weight": "model-00001-of-00002.safetensors", "model.layers.19.mlp.experts.gate_up_proj_bias": "model-00001-of-00002.safetensors", "model.layers.19.mlp.experts.gate_up_proj_blocks": "model-00001-of-00002.safetensors", "model.layers.19.mlp.experts.gate_up_proj_scales": "model-00001-of-00002.safetensors", "model.layers.19.mlp.experts.down_proj_bias": "model-00001-of-00002.safetensors", "model.layers.19.mlp.experts.down_proj_blocks": "model-00001-of-00002.safetensors", "model.layers.19.mlp.experts.down_proj_scales": "model-00001-of-00002.safetensors", "model.layers.19.post_attention_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.2.input_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.2.self_attn.o_proj.bias": "model-00001-of-00002.safetensors", "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00002.safetensors", "model.layers.2.self_attn.q_proj.bias": "model-00001-of-00002.safetensors", "model.layers.2.self_attn.k_proj.bias": "model-00001-of-00002.safetensors", "model.layers.2.self_attn.v_proj.bias": "model-00001-of-00002.safetensors", "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00002.safetensors", "model.layers.2.self_attn.sinks": "model-00001-of-00002.safetensors", "model.layers.2.mlp.router.bias": "model-00001-of-00002.safetensors", "model.layers.2.mlp.router.weight": "model-00001-of-00002.safetensors", "model.layers.2.mlp.experts.gate_up_proj_bias": "model-00001-of-00002.safetensors", "model.layers.2.mlp.experts.gate_up_proj_blocks": "model-00001-of-00002.safetensors", "model.layers.2.mlp.experts.gate_up_proj_scales": "model-00001-of-00002.safetensors", "model.layers.2.mlp.experts.down_proj_bias": "model-00001-of-00002.safetensors", "model.layers.2.mlp.experts.down_proj_blocks": "model-00001-of-00002.safetensors", "model.layers.2.mlp.experts.down_proj_scales": "model-00001-of-00002.safetensors", "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.20.input_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.20.self_attn.o_proj.bias": "model-00001-of-00002.safetensors", "model.layers.20.self_attn.o_proj.weight": "model-00001-of-00002.safetensors", "model.layers.20.self_attn.q_proj.bias": "model-00001-of-00002.safetensors", "model.layers.20.self_attn.k_proj.bias": "model-00001-of-00002.safetensors", "model.layers.20.self_attn.v_proj.bias": "model-00001-of-00002.safetensors", "model.layers.20.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", "model.layers.20.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", "model.layers.20.self_attn.v_proj.weight": "model-00001-of-00002.safetensors", "model.layers.20.self_attn.sinks": "model-00001-of-00002.safetensors", "model.layers.20.mlp.router.bias": "model-00001-of-00002.safetensors", "model.layers.20.mlp.router.weight": "model-00001-of-00002.safetensors", "model.layers.20.mlp.experts.gate_up_proj_bias": "model-00001-of-00002.safetensors", "model.layers.20.mlp.experts.gate_up_proj_blocks": "model-00001-of-00002.safetensors", "model.layers.20.mlp.experts.gate_up_proj_scales": "model-00001-of-00002.safetensors", "model.layers.20.mlp.experts.down_proj_bias": "model-00001-of-00002.safetensors", "model.layers.20.mlp.experts.down_proj_blocks": "model-00001-of-00002.safetensors", "model.layers.20.mlp.experts.down_proj_scales": "model-00001-of-00002.safetensors", "model.layers.20.post_attention_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.21.input_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.21.self_attn.o_proj.bias": "model-00001-of-00002.safetensors", "model.layers.21.self_attn.o_proj.weight": "model-00001-of-00002.safetensors", "model.layers.21.self_attn.q_proj.bias": "model-00001-of-00002.safetensors", "model.layers.21.self_attn.k_proj.bias": "model-00001-of-00002.safetensors", "model.layers.21.self_attn.v_proj.bias": "model-00001-of-00002.safetensors", "model.layers.21.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", "model.layers.21.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", "model.layers.21.self_attn.v_proj.weight": "model-00001-of-00002.safetensors", "model.layers.21.self_attn.sinks": "model-00001-of-00002.safetensors", "model.layers.21.mlp.router.bias": "model-00001-of-00002.safetensors", "model.layers.21.mlp.router.weight": "model-00001-of-00002.safetensors", "model.layers.21.mlp.experts.gate_up_proj_bias": "model-00001-of-00002.safetensors", "model.layers.21.mlp.experts.gate_up_proj_blocks": "model-00001-of-00002.safetensors", "model.layers.21.mlp.experts.gate_up_proj_scales": "model-00001-of-00002.safetensors", "model.layers.21.mlp.experts.down_proj_bias": "model-00001-of-00002.safetensors", "model.layers.21.mlp.experts.down_proj_blocks": "model-00001-of-00002.safetensors", "model.layers.21.mlp.experts.down_proj_scales": "model-00001-of-00002.safetensors", "model.layers.21.post_attention_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.22.input_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.22.self_attn.o_proj.bias": "model-00001-of-00002.safetensors", "model.layers.22.self_attn.o_proj.weight": "model-00001-of-00002.safetensors", "model.layers.22.self_attn.q_proj.bias": "model-00001-of-00002.safetensors", "model.layers.22.self_attn.k_proj.bias": "model-00001-of-00002.safetensors", "model.layers.22.self_attn.v_proj.bias": "model-00001-of-00002.safetensors", "model.layers.22.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", "model.layers.22.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", "model.layers.22.self_attn.v_proj.weight": "model-00001-of-00002.safetensors", "model.layers.22.self_attn.sinks": "model-00001-of-00002.safetensors", "model.layers.22.mlp.router.bias": "model-00001-of-00002.safetensors", "model.layers.22.mlp.router.weight": "model-00001-of-00002.safetensors", "model.layers.22.mlp.experts.gate_up_proj_bias": "model-00001-of-00002.safetensors", "model.layers.22.mlp.experts.gate_up_proj_blocks": "model-00001-of-00002.safetensors", "model.layers.22.mlp.experts.gate_up_proj_scales": "model-00001-of-00002.safetensors", "model.layers.22.mlp.experts.down_proj_bias": "model-00001-of-00002.safetensors", "model.layers.22.mlp.experts.down_proj_blocks": "model-00001-of-00002.safetensors", "model.layers.22.mlp.experts.down_proj_scales": "model-00001-of-00002.safetensors", "model.layers.22.post_attention_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.23.input_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.23.self_attn.o_proj.bias": "model-00001-of-00002.safetensors", "model.layers.23.self_attn.o_proj.weight": "model-00001-of-00002.safetensors", "model.layers.23.self_attn.q_proj.bias": "model-00001-of-00002.safetensors", "model.layers.23.self_attn.k_proj.bias": "model-00001-of-00002.safetensors", "model.layers.23.self_attn.v_proj.bias": "model-00001-of-00002.safetensors", "model.layers.23.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", "model.layers.23.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", "model.layers.23.self_attn.v_proj.weight": "model-00001-of-00002.safetensors", "model.layers.23.self_attn.sinks": "model-00001-of-00002.safetensors", "model.layers.23.mlp.router.bias": "model-00001-of-00002.safetensors", "model.layers.23.mlp.router.weight": "model-00001-of-00002.safetensors", "model.layers.23.mlp.experts.gate_up_proj_bias": "model-00001-of-00002.safetensors", "model.layers.23.mlp.experts.gate_up_proj_blocks": "model-00001-of-00002.safetensors", "model.layers.23.mlp.experts.gate_up_proj_scales": "model-00001-of-00002.safetensors", "model.layers.23.mlp.experts.down_proj_bias": "model-00001-of-00002.safetensors", "model.layers.23.mlp.experts.down_proj_blocks": "model-00001-of-00002.safetensors", "model.layers.23.mlp.experts.down_proj_scales": "model-00001-of-00002.safetensors", "model.layers.23.post_attention_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.3.input_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.3.self_attn.o_proj.bias": "model-00001-of-00002.safetensors", "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00002.safetensors", "model.layers.3.self_attn.q_proj.bias": "model-00001-of-00002.safetensors", "model.layers.3.self_attn.k_proj.bias": "model-00001-of-00002.safetensors", "model.layers.3.self_attn.v_proj.bias": "model-00001-of-00002.safetensors", "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00002.safetensors", "model.layers.3.self_attn.sinks": "model-00001-of-00002.safetensors", "model.layers.3.mlp.router.bias": "model-00001-of-00002.safetensors", "model.layers.3.mlp.router.weight": "model-00001-of-00002.safetensors", "model.layers.3.mlp.experts.gate_up_proj_bias": "model-00001-of-00002.safetensors", "model.layers.3.mlp.experts.gate_up_proj_blocks": "model-00001-of-00002.safetensors", "model.layers.3.mlp.experts.gate_up_proj_scales": "model-00001-of-00002.safetensors", "model.layers.3.mlp.experts.down_proj_bias": "model-00001-of-00002.safetensors", "model.layers.3.mlp.experts.down_proj_blocks": "model-00001-of-00002.safetensors", "model.layers.3.mlp.experts.down_proj_scales": "model-00001-of-00002.safetensors", "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.4.input_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.4.self_attn.o_proj.bias": "model-00001-of-00002.safetensors", "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00002.safetensors", "model.layers.4.self_attn.q_proj.bias": "model-00001-of-00002.safetensors", "model.layers.4.self_attn.k_proj.bias": "model-00001-of-00002.safetensors", "model.layers.4.self_attn.v_proj.bias": "model-00001-of-00002.safetensors", "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00002.safetensors", "model.layers.4.self_attn.sinks": "model-00001-of-00002.safetensors", "model.layers.4.mlp.router.bias": "model-00001-of-00002.safetensors", "model.layers.4.mlp.router.weight": "model-00001-of-00002.safetensors", "model.layers.4.mlp.experts.gate_up_proj_bias": "model-00001-of-00002.safetensors", "model.layers.4.mlp.experts.gate_up_proj_blocks": "model-00001-of-00002.safetensors", "model.layers.4.mlp.experts.gate_up_proj_scales": "model-00001-of-00002.safetensors", "model.layers.4.mlp.experts.down_proj_bias": "model-00001-of-00002.safetensors", "model.layers.4.mlp.experts.down_proj_blocks": "model-00001-of-00002.safetensors", "model.layers.4.mlp.experts.down_proj_scales": "model-00001-of-00002.safetensors", "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.5.input_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.5.self_attn.o_proj.bias": "model-00001-of-00002.safetensors", "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00002.safetensors", "model.layers.5.self_attn.q_proj.bias": "model-00001-of-00002.safetensors", "model.layers.5.self_attn.k_proj.bias": "model-00001-of-00002.safetensors", "model.layers.5.self_attn.v_proj.bias": "model-00001-of-00002.safetensors", "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00002.safetensors", "model.layers.5.self_attn.sinks": "model-00001-of-00002.safetensors", "model.layers.5.mlp.router.bias": "model-00001-of-00002.safetensors", "model.layers.5.mlp.router.weight": "model-00001-of-00002.safetensors", "model.layers.5.mlp.experts.gate_up_proj_bias": "model-00001-of-00002.safetensors", "model.layers.5.mlp.experts.gate_up_proj_blocks": "model-00001-of-00002.safetensors", "model.layers.5.mlp.experts.gate_up_proj_scales": "model-00001-of-00002.safetensors", "model.layers.5.mlp.experts.down_proj_bias": "model-00001-of-00002.safetensors", "model.layers.5.mlp.experts.down_proj_blocks": "model-00001-of-00002.safetensors", "model.layers.5.mlp.experts.down_proj_scales": "model-00001-of-00002.safetensors", "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.6.input_layernorm.weight": "model-00001-of-00002.safetensors", "model.layers.6.self_attn.o_proj.bias": "model-00001-of-00002.safetensors", "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00002.safetensors", "model.layers.6.self_attn.q_proj.bias": "model-00001-of-00002.safetensors", "model.layers.6.self_attn.k_proj.bias": "model-00001-of-00002.safetensors", "model.layers.6.self_attn.v_proj.bias": "model-00001-of-00002.safetensors", "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00002.safetensors", "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00002.safetensors", "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00002.safetensors", "model.layers.6.self_attn.sinks": "model-00001-of-00002.safetensors", "model.layers.6.mlp.router.bias": "model-00001-of-00002.safetensors", "model.layers.6.mlp.router.weight": "model-00001-of-00002.safetensors", "model.layers.6.mlp.experts.gate_up_proj_bias": "model-00001-of-00002.safetensors", "model.layers.6.mlp.experts.gate_up_proj_blocks": "model-00002-of-00002.safetensors", "model.layers.6.mlp.experts.gate_up_proj_scales": "model-00002-of-00002.safetensors", "model.layers.6.mlp.experts.down_proj_bias": "model-00002-of-00002.safetensors", "model.layers.6.mlp.experts.down_proj_blocks": "model-00002-of-00002.safetensors", "model.layers.6.mlp.experts.down_proj_scales": "model-00002-of-00002.safetensors", "model.layers.6.post_attention_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.7.input_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.7.self_attn.o_proj.bias": "model-00002-of-00002.safetensors", "model.layers.7.self_attn.o_proj.weight": "model-00002-of-00002.safetensors", "model.layers.7.self_attn.q_proj.bias": "model-00002-of-00002.safetensors", "model.layers.7.self_attn.k_proj.bias": "model-00002-of-00002.safetensors", "model.layers.7.self_attn.v_proj.bias": "model-00002-of-00002.safetensors", "model.layers.7.self_attn.q_proj.weight": "model-00002-of-00002.safetensors", "model.layers.7.self_attn.k_proj.weight": "model-00002-of-00002.safetensors", "model.layers.7.self_attn.v_proj.weight": "model-00002-of-00002.safetensors", "model.layers.7.self_attn.sinks": "model-00002-of-00002.safetensors", "model.layers.7.mlp.router.bias": "model-00002-of-00002.safetensors", "model.layers.7.mlp.router.weight": "model-00002-of-00002.safetensors", "model.layers.7.mlp.experts.gate_up_proj_bias": "model-00002-of-00002.safetensors", "model.layers.7.mlp.experts.gate_up_proj_blocks": "model-00002-of-00002.safetensors", "model.layers.7.mlp.experts.gate_up_proj_scales": "model-00002-of-00002.safetensors", "model.layers.7.mlp.experts.down_proj_bias": "model-00002-of-00002.safetensors", "model.layers.7.mlp.experts.down_proj_blocks": "model-00002-of-00002.safetensors", "model.layers.7.mlp.experts.down_proj_scales": "model-00002-of-00002.safetensors", "model.layers.7.post_attention_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.8.input_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.8.self_attn.o_proj.bias": "model-00002-of-00002.safetensors", "model.layers.8.self_attn.o_proj.weight": "model-00002-of-00002.safetensors", "model.layers.8.self_attn.q_proj.bias": "model-00002-of-00002.safetensors", "model.layers.8.self_attn.k_proj.bias": "model-00002-of-00002.safetensors", "model.layers.8.self_attn.v_proj.bias": "model-00002-of-00002.safetensors", "model.layers.8.self_attn.q_proj.weight": "model-00002-of-00002.safetensors", "model.layers.8.self_attn.k_proj.weight": "model-00002-of-00002.safetensors", "model.layers.8.self_attn.v_proj.weight": "model-00002-of-00002.safetensors", "model.layers.8.self_attn.sinks": "model-00002-of-00002.safetensors", "model.layers.8.mlp.router.bias": "model-00002-of-00002.safetensors", "model.layers.8.mlp.router.weight": "model-00002-of-00002.safetensors", "model.layers.8.mlp.experts.gate_up_proj_bias": "model-00002-of-00002.safetensors", "model.layers.8.mlp.experts.gate_up_proj_blocks": "model-00002-of-00002.safetensors", "model.layers.8.mlp.experts.gate_up_proj_scales": "model-00002-of-00002.safetensors", "model.layers.8.mlp.experts.down_proj_bias": "model-00002-of-00002.safetensors", "model.layers.8.mlp.experts.down_proj_blocks": "model-00002-of-00002.safetensors", "model.layers.8.mlp.experts.down_proj_scales": "model-00002-of-00002.safetensors", "model.layers.8.post_attention_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.9.input_layernorm.weight": "model-00002-of-00002.safetensors", "model.layers.9.self_attn.o_proj.bias": "model-00002-of-00002.safetensors", "model.layers.9.self_attn.o_proj.weight": "model-00002-of-00002.safetensors", "model.layers.9.self_attn.q_proj.bias": "model-00002-of-00002.safetensors", "model.layers.9.self_attn.k_proj.bias": "model-00002-of-00002.safetensors", "model.layers.9.self_attn.v_proj.bias": "model-00002-of-00002.safetensors", "model.layers.9.self_attn.q_proj.weight": "model-00002-of-00002.safetensors", "model.layers.9.self_attn.k_proj.weight": "model-00002-of-00002.safetensors", "model.layers.9.self_attn.v_proj.weight": "model-00002-of-00002.safetensors", "model.layers.9.self_attn.sinks": "model-00002-of-00002.safetensors", "model.layers.9.mlp.router.bias": "model-00002-of-00002.safetensors", "model.layers.9.mlp.router.weight": "model-00002-of-00002.safetensors", "model.layers.9.mlp.experts.gate_up_proj_bias": "model-00002-of-00002.safetensors", "model.layers.9.mlp.experts.gate_up_proj_blocks": "model-00002-of-00002.safetensors", "model.layers.9.mlp.experts.gate_up_proj_scales": "model-00002-of-00002.safetensors", "model.layers.9.mlp.experts.down_proj_bias": "model-00002-of-00002.safetensors", "model.layers.9.mlp.experts.down_proj_blocks": "model-00002-of-00002.safetensors", "model.layers.9.mlp.experts.down_proj_scales": "model-00002-of-00002.safetensors", "model.layers.9.post_attention_layernorm.weight": "model-00002-of-00002.safetensors", "model.embed_tokens.weight": "model-00002-of-00002.safetensors", "model.norm.weight": "model-00002-of-00002.safetensors", "lm_head.weight": "model-00002-of-00002.safetensors"}}

special_tokens_map.json

@@ -0,0 +1,23 @@
+{
+  "bos_token": {
+    "content": "<|startoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|return|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|reserved_200017|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tmp_chute.py

@@ -0,0 +1,18 @@
+
+import os
+from chutes.chute import NodeSelector
+from chutes.chute.template.vllm import build_vllm_chute
+os.environ["NO_PROXY"] = "localhost,127.0.0.1"
+
+chute = build_vllm_chute(
+    username="achoji",
+    readme="ronx-labs/affine-081410",
+    model_name="ronx-labs/affine-081410",
+    image="chutes/vllm_gptoss:0.10.1.dev5",
+    concurrency=16,
+    revision="606d2f4e4f62a2d549de4daa8c602930dcae3e51",
+    node_selector=NodeSelector(
+        gpu_count=8,
+        min_vram_gb_per_gpu=24,
+    ),
+)

tokenizer_config.json

@@ -0,0 +1,185 @@
+{
+  "added_tokens_decoder": {
+    "199998": {
+      "content": "<|startoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "199999": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "200000": {
+      "content": "<|reserved_200000|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "200001": {
+      "content": "<|reserved_200001|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "200002": {
+      "content": "<|return|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "200003": {
+      "content": "<|constrain|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "200004": {
+      "content": "<|reserved_200004|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "200005": {
+      "content": "<|channel|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "200006": {
+      "content": "<|start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "200007": {
+      "content": "<|end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "200008": {
+      "content": "<|message|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "200009": {
+      "content": "<|reserved_200009|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "200010": {
+      "content": "<|reserved_200010|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "200011": {
+      "content": "<|reserved_200011|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "200012": {
+      "content": "<|call|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "200013": {
+      "content": "<|reserved_200013|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "200014": {
+      "content": "<|reserved_200014|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "200015": {
+      "content": "<|reserved_200015|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "200016": {
+      "content": "<|reserved_200016|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "200017": {
+      "content": "<|reserved_200017|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "200018": {
+      "content": "<|endofprompt|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<|startoftext|>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|return|>",
+  "extra_special_tokens": {},
+  "model_input_names": [
+    "input_ids",
+    "attention_mask"
+  ],
+  "model_max_length": 131072,
+  "pad_token": "<|reserved_200017|>",
+  "padding_side": "right",
+  "tokenizer_class": "PreTrainedTokenizerFast",
+  "unk_token": null
+}