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-LLAMA 3.1 COMMUNITY LICENSE AGREEMENT
-Llama 3.1 Version Release Date: July 23, 2024
-
-“Agreement” means the terms and conditions for use, reproduction, distribution and modification of the
-Llama Materials set forth herein.
-
-“Documentation” means the specifications, manuals and documentation accompanying Llama 3.1
-distributed by Meta at https://llama.meta.com/doc/overview.
-
-“Licensee” or “you” means you, or your employer or any other person or entity (if you are entering into
-this Agreement on such person or entity’s behalf), of the age required under applicable laws, rules or
-regulations to provide legal consent and that has legal authority to bind your employer or such other
-person or entity if you are entering in this Agreement on their behalf.
-
-“Llama 3.1” means the foundational large language models and software and algorithms, including
-machine-learning model code, trained model weights, inference-enabling code, training-enabling code,
-fine-tuning enabling code and other elements of the foregoing distributed by Meta at
-https://llama.meta.com/llama-downloads.
-
-“Llama Materials” means, collectively, Meta’s proprietary Llama 3.1 and Documentation (and any
-portion thereof) made available under this Agreement.
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-“Meta” or “we” means Meta Platforms Ireland Limited (if you are located in or, if you are an entity, your
-principal place of business is in the EEA or Switzerland) and Meta Platforms, Inc. (if you are located
-outside of the EEA or Switzerland).
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-By clicking “I Accept” below or by using or distributing any portion or element of the Llama Materials,
-you agree to be bound by this Agreement.
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-1. License Rights and Redistribution.
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-  a. Grant of Rights. You are granted a non-exclusive, worldwide, non-transferable and royalty-free
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-  b. Redistribution and Use.
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-      i. If you distribute or make available the Llama Materials (or any derivative works
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-the beginning of any such AI model name.
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-      ii. If you receive Llama Materials, or any derivative works thereof, from a Licensee as part 
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-      iii. You must retain in all copies of the Llama Materials that you distribute the following
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-      iv. Your use of the Llama Materials must comply with applicable laws and regulations
-(including trade compliance laws and regulations) and adhere to the Acceptable Use Policy for the Llama
-Materials (available at https://llama.meta.com/llama3_1/use-policy), which is hereby incorporated by
-reference into this Agreement.
-
-2. Additional Commercial Terms. If, on the Llama 3.1 version release date, the monthly active users
-of the products or services made available by or for Licensee, or Licensee’s affiliates, is greater than 700
-million monthly active users in the preceding calendar month, you must request a license from Meta,
-which Meta may grant to you in its sole discretion, and you are not authorized to exercise any of the
-rights under this Agreement unless or until Meta otherwise expressly grants you such rights.
-
-3. Disclaimer of Warranty. UNLESS REQUIRED BY APPLICABLE LAW, THE LLAMA MATERIALS AND ANY
-OUTPUT AND RESULTS THEREFROM ARE PROVIDED ON AN “AS IS” BASIS, WITHOUT WARRANTIES OF
-ANY KIND, AND META DISCLAIMS ALL WARRANTIES OF ANY KIND, BOTH EXPRESS AND IMPLIED,
-INCLUDING, WITHOUT LIMITATION, ANY WARRANTIES OF TITLE, NON-INFRINGEMENT,
-MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE. YOU ARE SOLELY RESPONSIBLE FOR
-DETERMINING THE APPROPRIATENESS OF USING OR REDISTRIBUTING THE LLAMA MATERIALS AND
-ASSUME ANY RISKS ASSOCIATED WITH YOUR USE OF THE LLAMA MATERIALS AND ANY OUTPUT AND
-RESULTS.
-
-4. Limitation of Liability. IN NO EVENT WILL META OR ITS AFFILIATES BE LIABLE UNDER ANY THEORY OF
-LIABILITY, WHETHER IN CONTRACT, TORT, NEGLIGENCE, PRODUCTS LIABILITY, OR OTHERWISE, ARISING
-OUT OF THIS AGREEMENT, FOR ANY LOST PROFITS OR ANY INDIRECT, SPECIAL, CONSEQUENTIAL,
-INCIDENTAL, EXEMPLARY OR PUNITIVE DAMAGES, EVEN IF META OR ITS AFFILIATES HAVE BEEN ADVISED
-OF THE POSSIBILITY OF ANY OF THE FOREGOING.
-
-5. Intellectual Property.
-
-  a. No trademark licenses are granted under this Agreement, and in connection with the Llama
-Materials, neither Meta nor Licensee may use any name or mark owned by or associated with the other
-or any of its affiliates, except as required for reasonable and customary use in describing and
-redistributing the Llama Materials or as set forth in this Section 5(a). Meta hereby grants you a license to
-use “Llama” (the “Mark”) solely as required to comply with the last sentence of Section 1.b.i. You will
-comply with Meta’s brand guidelines (currently accessible at
-https://about.meta.com/brand/resources/meta/company-brand/ ). All goodwill arising out of your use
-of the Mark will inure to the benefit of Meta.
-
-  b. Subject to Meta’s ownership of Llama Materials and derivatives made by or for Meta, with
-respect to any derivative works and modifications of the Llama Materials that are made by you, as
-between you and Meta, you are and will be the owner of such derivative works and modifications.
-
-  c. If you institute litigation or other proceedings against Meta or any entity (including a
-cross-claim or counterclaim in a lawsuit) alleging that the Llama Materials or Llama 3.1 outputs or
-results, or any portion of any of the foregoing, constitutes infringement of intellectual property or other
-rights owned or licensable by you, then any licenses granted to you under this Agreement shall
-terminate as of the date such litigation or claim is filed or instituted. You will indemnify and hold
-harmless Meta from and against any claim by any third party arising out of or related to your use or
-distribution of the Llama Materials.
-
-6. Term and Termination. The term of this Agreement will commence upon your acceptance of this
-Agreement or access to the Llama Materials and will continue in full force and effect until terminated in
-accordance with the terms and conditions herein. Meta may terminate this Agreement if you are in
-breach of any term or condition of this Agreement. Upon termination of this Agreement, you shall delete
-and cease use of the Llama Materials. Sections 3, 4 and 7 shall survive the termination of this
-Agreement.
-
-7. Governing Law and Jurisdiction. This Agreement will be governed and construed under the laws of
-the State of California without regard to choice of law principles, and the UN Convention on Contracts
-for the International Sale of Goods does not apply to this Agreement. The courts of California shall have
-exclusive jurisdiction of any dispute arising out of this Agreement.
\ No newline at end of file
diff --git a/README.md b/README.md
deleted file mode 100644
index 1c6b5b79ec00a07406f831b59eb5f1587b34ab31..0000000000000000000000000000000000000000
--- a/README.md
+++ /dev/null
@@ -1,47 +0,0 @@
----
-base_model: meta-llama/Llama-3.1-8B-Instruct
-language:
-  - en
-  - de
-  - fr
-  - it
-  - pt
-  - hi
-  - es
-  - th
-license: llama3.1
-pipeline_tag: text-generation
-library_name: furiosa-llm
-tags:
-  - furiosa-ai
-  - llama
-  - llama-3
----
-# Model Overview
-- **Model Architecture:** Meta-Llama-3
-  - **Input:** Text
-  - **Output:** Text
-- **Model Optimizations:**
-- **Maximum Context Length:** 32k tokens
-  - Maximum Prompt Length: 32768 tokens
-  - Maximum Generation Length: 32768 tokens
-- **Intended Use Cases:** Intended for commercial and non-commercial use. Same as [Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct), this models is intended for assistant-like chat.
-- **Release Date:** 07/28/2025
-- **Version:** v2025.3
-- **License(s):** [Llama3.1](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct/blob/main/LICENSE)
-- **Supported Inference Engine(s):** Furiosa LLM
-- **Supported Hardware Compatibility:** FuriosaAI RNGD
-- **Preferred Operating System(s):** Linux
-- **Quantization:** No
-
-
-## Description:
-This model is the pre-compiled version of the [Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct), which is an auto-regressive language model that uses an optimized transformer architecture.
-
-## Usage
-
-To run this model with [Furiosa-LLM](https://developer.furiosa.ai/latest/en/furiosa_llm/intro.html), follow the example command below after [installing Furiosa-LLM and its prerequisites](https://developer.furiosa.ai/latest/en/getting_started/furiosa_llm.html#installing-furiosa-llm).
-
-```sh
-furiosa-llm serve furiosa-ai/Llama-3.1-8B-Instruct
-```
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-{
-  "_name_or_path": "meta-llama/Llama-3.1-8B-Instruct",
-  "architectures": [
-    "LlamaForCausalLM"
-  ],
-  "attention_bias": false,
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-    128009
-  ],
-  "head_dim": 128,
-  "hidden_act": "silu",
-  "hidden_size": 4096,
-  "initializer_range": 0.02,
-  "intermediate_size": 14336,
-  "inv_freq_config": {
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-    "low_freq_factor": 1.0,
-    "original_max_position_embeddings": 8192,
-    "rope_type": "llama3"
-  },
-  "max_position_embeddings": 131072,
-  "mlp_bias": false,
-  "model_type": "llama",
-  "num_attention_heads": 32,
-  "num_hidden_layers": 32,
-  "num_key_value_heads": 8,
-  "pretraining_tp": 1,
-  "rms_norm_eps": 1e-05,
-  "rope_scaling": null,
-  "rope_theta": 500000.0,
-  "tie_word_embeddings": false,
-  "torch_dtype": "bfloat16",
-  "transformers_version": "4.48.1",
-  "use_cache": true,
-  "vocab_size": 128256
-}
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-{
-  "config_version": "1.0.0",
-  "model_id": "meta-llama/Llama-3.1-8B-Instruct",
-  "model_kinds": [
-    "ARTIFACT"
-  ],
-  "model_class": {
-    "module": "furiosa_llm_models.llama3.symbolic.aramco_specdec",
-    "name": "LlamaForCausalLM"
-  },
-  "llm_config": {
-    "optimization_config": {
-      "attention_type": "PAGED_ATTENTION",
-      "optimize_rope": true,
-      "optimize_packed": true,
-      "decompose_layernorm": false,
-      "optimize_furiosa": false,
-      "use_unsplit_packed": false,
-      "compact_causal_mask": false,
-      "use_rngd_gelu": false,
-      "causal_mask_free_decoding": true,
-      "kv_cache_sharing_across_beams": false,
-      "inbound_beamsearch_softmax": false,
-      "calculate_logit_only_for_last_token": false,
-      "optimized_for_speculative_decoding": true,
-      "use_2d_masks": false,
-      "merged_kv_indices": false
-    },
-    "quantization_config": {
-      "weight": "bf16",
-      "activation": "bf16",
-      "kv_cache": "bf16",
-      "use_mcp": true
-    }
-  },
-  "components_versions": {
-    "furiosa_llm": {
-      "version": "0.1.0-dev",
-      "git_hash": "ae4caf7",
-      "build_time": null
-    },
-    "furiosa_ir": {
-      "version": "0.11.0-dev",
-      "git_hash": "8c5160b804",
-      "build_time": "2025-07-22T07:08:47Z"
-    },
-    "furiosa_runtime": {
-      "version": "2025.3.0",
-      "git_hash": "354b959ed",
-      "build_time": "2025-07-22T07:12:59Z"
-    },
-    "furiosa_model_compressor": {
-      "version": "2025.3.0 (rev: 4cd9804)",
-      "git_hash": null,
-      "build_time": null
-    }
-  }
-}
\ No newline at end of file
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diff --git a/special_tokens_map.json b/special_tokens_map.json
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-{
-  "bos_token": {
-    "content": "<|begin_of_text|>",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
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diff --git a/tokenizer.json b/tokenizer.json
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-{
-  "added_tokens_decoder": {
-    "128000": {
-      "content": "<|begin_of_text|>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
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-      "content": "<|reserved_special_token_216|>",
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-    "128228": {
-      "content": "<|reserved_special_token_220|>",
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-      "content": "<|reserved_special_token_221|>",
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-    "128230": {
-      "content": "<|reserved_special_token_222|>",
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-    "128231": {
-      "content": "<|reserved_special_token_223|>",
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-    "128232": {
-      "content": "<|reserved_special_token_224|>",
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-      "normalized": false,
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-      "single_word": false,
-      "special": true
-    },
-    "128233": {
-      "content": "<|reserved_special_token_225|>",
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-      "special": true
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-    "128234": {
-      "content": "<|reserved_special_token_226|>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
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-    "128235": {
-      "content": "<|reserved_special_token_227|>",
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-      "normalized": false,
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-      "single_word": false,
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-    "128236": {
-      "content": "<|reserved_special_token_228|>",
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-    "128237": {
-      "content": "<|reserved_special_token_229|>",
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-      "content": "<|reserved_special_token_230|>",
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-      "content": "<|reserved_special_token_231|>",
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-      "content": "<|reserved_special_token_232|>",
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-      "content": "<|reserved_special_token_233|>",
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-    "128242": {
-      "content": "<|reserved_special_token_234|>",
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-      "content": "<|reserved_special_token_235|>",
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-    "128244": {
-      "content": "<|reserved_special_token_236|>",
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-    "128245": {
-      "content": "<|reserved_special_token_237|>",
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-    "128246": {
-      "content": "<|reserved_special_token_238|>",
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-      "normalized": false,
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-    "128247": {
-      "content": "<|reserved_special_token_239|>",
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-    "128248": {
-      "content": "<|reserved_special_token_240|>",
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-      "normalized": false,
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-      "single_word": false,
-      "special": true
-    },
-    "128249": {
-      "content": "<|reserved_special_token_241|>",
-      "lstrip": false,
-      "normalized": false,
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-      "single_word": false,
-      "special": true
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-    "128250": {
-      "content": "<|reserved_special_token_242|>",
-      "lstrip": false,
-      "normalized": false,
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-      "single_word": false,
-      "special": true
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-    "128251": {
-      "content": "<|reserved_special_token_243|>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
-    },
-    "128252": {
-      "content": "<|reserved_special_token_244|>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
-    },
-    "128253": {
-      "content": "<|reserved_special_token_245|>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
-    },
-    "128254": {
-      "content": "<|reserved_special_token_246|>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
-    },
-    "128255": {
-      "content": "<|reserved_special_token_247|>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
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-  },
-  "bos_token": "<|begin_of_text|>",
-  "chat_template": "{{- bos_token }}\n{%- if custom_tools is defined %}\n    {%- set tools = custom_tools %}\n{%- endif %}\n{%- if not tools_in_user_message is defined %}\n    {%- set tools_in_user_message = true %}\n{%- endif %}\n{%- if not date_string is defined %}\n    {%- set date_string = \"26 Jul 2024\" %}\n{%- endif %}\n{%- if not tools is defined %}\n    {%- set tools = none %}\n{%- endif %}\n\n{#- This block extracts the system message, so we can slot it into the right place. #}\n{%- if messages[0]['role'] == 'system' %}\n    {%- set system_message = messages[0]['content']|trim %}\n    {%- set messages = messages[1:] %}\n{%- else %}\n    {%- set system_message = \"\" %}\n{%- endif %}\n\n{#- System message + builtin tools #}\n{{- \"<|start_header_id|>system<|end_header_id|>\\n\\n\" }}\n{%- if builtin_tools is defined or tools is not none %}\n    {{- \"Environment: ipython\\n\" }}\n{%- endif %}\n{%- if builtin_tools is defined %}\n    {{- \"Tools: \" + builtin_tools | reject('equalto', 'code_interpreter') | join(\", \") + \"\\n\\n\"}}\n{%- endif %}\n{{- \"Cutting Knowledge Date: December 2023\\n\" }}\n{{- \"Today Date: \" + date_string + \"\\n\\n\" }}\n{%- if tools is not none and not tools_in_user_message %}\n    {{- \"You have access to the following functions. To call a function, please respond with JSON for a function call.\" }}\n    {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n    {{- \"Do not use variables.\\n\\n\" }}\n    {%- for t in tools %}\n        {{- t | tojson(indent=4) }}\n        {{- \"\\n\\n\" }}\n    {%- endfor %}\n{%- endif %}\n{{- system_message }}\n{{- \"<|eot_id|>\" }}\n\n{#- Custom tools are passed in a user message with some extra guidance #}\n{%- if tools_in_user_message and not tools is none %}\n    {#- Extract the first user message so we can plug it in here #}\n    {%- if messages | length != 0 %}\n        {%- set first_user_message = messages[0]['content']|trim %}\n        {%- set messages = messages[1:] %}\n    {%- else %}\n        {{- raise_exception(\"Cannot put tools in the first user message when there's no first user message!\") }}\n{%- endif %}\n    {{- '<|start_header_id|>user<|end_header_id|>\\n\\n' -}}\n    {{- \"Given the following functions, please respond with a JSON for a function call \" }}\n    {{- \"with its proper arguments that best answers the given prompt.\\n\\n\" }}\n    {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n    {{- \"Do not use variables.\\n\\n\" }}\n    {%- for t in tools %}\n        {{- t | tojson(indent=4) }}\n        {{- \"\\n\\n\" }}\n    {%- endfor %}\n    {{- first_user_message + \"<|eot_id|>\"}}\n{%- endif %}\n\n{%- for message in messages %}\n    {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}\n        {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\\n\\n'+ message['content'] | trim + '<|eot_id|>' }}\n    {%- elif 'tool_calls' in message %}\n        {%- if not message.tool_calls|length == 1 %}\n            {{- raise_exception(\"This model only supports single tool-calls at once!\") }}\n        {%- endif %}\n        {%- set tool_call = message.tool_calls[0].function %}\n        {%- if builtin_tools is defined and tool_call.name in builtin_tools %}\n            {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' -}}\n            {{- \"<|python_tag|>\" + tool_call.name + \".call(\" }}\n            {%- for arg_name, arg_val in tool_call.arguments | items %}\n                {{- arg_name + '=\"' + arg_val + '\"' }}\n                {%- if not loop.last %}\n                    {{- \", \" }}\n                {%- endif %}\n                {%- endfor %}\n            {{- \")\" }}\n        {%- else  %}\n            {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' -}}\n            {{- '{\"name\": \"' + tool_call.name + '\", ' }}\n            {{- '\"parameters\": ' }}\n            {{- tool_call.arguments | tojson }}\n            {{- \"}\" }}\n        {%- endif %}\n        {%- if builtin_tools is defined %}\n            {#- This means we're in ipython mode #}\n            {{- \"<|eom_id|>\" }}\n        {%- else %}\n            {{- \"<|eot_id|>\" }}\n        {%- endif %}\n    {%- elif message.role == \"tool\" or message.role == \"ipython\" %}\n        {{- \"<|start_header_id|>ipython<|end_header_id|>\\n\\n\" }}\n        {%- if message.content is mapping or message.content is iterable %}\n            {{- message.content | tojson }}\n        {%- else %}\n            {{- message.content }}\n        {%- endif %}\n        {{- \"<|eot_id|>\" }}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' }}\n{%- endif %}\n",
-  "clean_up_tokenization_spaces": true,
-  "eos_token": "<|eot_id|>",
-  "extra_special_tokens": {},
-  "model_input_names": [
-    "input_ids",
-    "attention_mask"
-  ],
-  "model_max_length": 131072,
-  "pad_token": "<|eot_id|>",
-  "padding_side": "left",
-  "tokenizer_class": "PreTrainedTokenizerFast"
-}