Instructions to use jsingh/autoflow-math-v0.3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jsingh/autoflow-math-v0.3 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jsingh/autoflow-math-v0.3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 662 Bytes
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"alpha_pattern": {},
"auto_mapping": null,
"base_model_name_or_path": "mistralai/Mixtral-8x7B-Instruct-v0.1",
"bias": "none",
"fan_in_fan_out": false,
"inference_mode": true,
"init_lora_weights": true,
"layer_replication": null,
"layers_pattern": null,
"layers_to_transform": null,
"loftq_config": {},
"lora_alpha": 32,
"lora_dropout": 0.05,
"megatron_config": null,
"megatron_core": "megatron.core",
"modules_to_save": null,
"peft_type": "LORA",
"r": 16,
"rank_pattern": {},
"revision": null,
"target_modules": [
"v_proj",
"q_proj"
],
"task_type": "CAUSAL_LM",
"use_dora": false,
"use_rslora": false
} |