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README.md

@@ -1,39 +0,0 @@
----
-base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
-license: mit
-pipeline_tag: text-generation
-library_name: furiosa-llm
-tags:
-  - furiosa-ai
----
-# Model Overview
-- **Model Architecture:** Qwen2
-  - **Input:** Text
-  - **Output:** Text
-- **Model Optimizations:**
-- **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 [deepseek-ai/DeepSeek-R1-Distill-Qwen-14B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-14B), this models is intended for assistant-like chat.
-- **Release Date:** 08/26/2025
-- **Version:** v2025.3
-- **License(s):** [MIT License](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-14B/blob/main/LICENSE)
-- **Supported Inference Engine(s):** Furiosa LLM
-- **Supported Hardware Compatibility:** FuriosaAI RNGD
-- **Preferred Operating System(s):** Linux
-
-
-## Description:
-This model is the pre-compiled version of the [deepseek-ai/DeepSeek-R1-Distill-Qwen-14B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-14B),
-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/DeepSeek-R1-Distill-Qwen-14B \
-  --reasoning-parser deepseek_r1
-```

artifact.json

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config.json

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-{
-  "_name_or_path": "deepseek-ai/DeepSeek-R1-Distill-Qwen-14B",
-  "architectures": [
-    "Qwen2ForCausalLM"
-  ],
-  "attention_dropout": 0.0,
-  "bos_token_id": 151643,
-  "eos_token_id": 151643,
-  "hidden_act": "silu",
-  "hidden_size": 5120,
-  "initializer_range": 0.02,
-  "intermediate_size": 13824,
-  "max_position_embeddings": 131072,
-  "max_window_layers": 48,
-  "model_type": "qwen2",
-  "num_attention_heads": 40,
-  "num_hidden_layers": 48,
-  "num_key_value_heads": 8,
-  "rms_norm_eps": 1e-05,
-  "rope_scaling": null,
-  "rope_theta": 1000000.0,
-  "sliding_window": null,
-  "tie_word_embeddings": false,
-  "torch_dtype": "bfloat16",
-  "transformers_version": "4.48.1",
-  "use_cache": true,
-  "use_sliding_window": false,
-  "vocab_size": 152064
-}

furiosa_config.json

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-{
-  "config_version": "1.0.0",
-  "model_id": "Qwen/Qwen2.5-14B",
-  "model_kinds": [
-    "ARTIFACT"
-  ],
-  "model_class": {
-    "module": "furiosa_models.architecture.models.qwen2",
-    "name": "Qwen2ForCausalLM"
-  },
-  "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": false
-    }
-  },
-  "components_versions": {
-    "furiosa_llm": {
-      "version": "0.1.0-dev",
-      "git_hash": "0d00aee",
-      "build_time": null
-    },
-    "furiosa_ir": {
-      "version": "0.11.0-dev",
-      "git_hash": "4467f6a699",
-      "build_time": "2025-08-27T04:38:43Z"
-    },
-    "furiosa_runtime": {
-      "version": "2025.3.1",
-      "git_hash": "0d00aee20",
-      "build_time": "2025-08-27T04:38:48Z"
-    },
-    "furiosa_model_compressor": {
-      "version": "2025.3.0 (rev: 4cd9804)",
-      "git_hash": null,
-      "build_time": null
-    }
-  }
-}

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special_tokens_map.json

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-{
-  "bos_token": {
-    "content": "<｜begin▁of▁sentence｜>",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
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-    "normalized": false,
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-  },
-  "pad_token": "<｜end▁of▁sentence｜>"
-}

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tokenizer_config.json

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-{
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-  "add_eos_token": false,
-  "add_prefix_space": null,
-  "added_tokens_decoder": {
-    "151643": {
-      "content": "<｜end▁of▁sentence｜>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
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-    "151644": {
-      "content": "<｜User｜>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "151645": {
-      "content": "<｜Assistant｜>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
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-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "151663": {
-      "content": "<|repo_name|>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "151664": {
-      "content": "<|file_sep|>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    }
-  },
-  "bos_token": "<｜begin▁of▁sentence｜>",
-  "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='') %}{%- for message in messages %}{%- if message['role'] == 'system' %}{% set ns.system_prompt = message['content'] %}{%- endif %}{%- endfor %}{{bos_token}}{{ns.system_prompt}}{%- for message in messages %}{%- if message['role'] == 'user' %}{%- set ns.is_tool = false -%}{{'<｜User｜>' + message['content']}}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is none %}{%- set ns.is_tool = false -%}{%- for tool in message['tool_calls']%}{%- if not ns.is_first %}{{'<｜Assistant｜><｜tool▁calls▁begin｜><｜tool▁call▁begin��>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<｜tool▁call▁end｜>'}}{%- set ns.is_first = true -%}{%- else %}{{'\\n' + '<｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<｜tool▁call▁end｜>'}}{{'<｜tool▁calls▁end｜><｜end▁of▁sentence｜>'}}{%- endif %}{%- endfor %}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is not none %}{%- if ns.is_tool %}{{'<｜tool▁outputs▁end｜>' + message['content'] + '<｜end▁of▁sentence｜>'}}{%- set ns.is_tool = false -%}{%- else %}{% set content = message['content'] %}{% if '</think>' in content %}{% set content = content.split('</think>')[-1] %}{% endif %}{{'<｜Assistant｜>' + content + '<｜end▁of▁sentence｜>'}}{%- endif %}{%- endif %}{%- if message['role'] == 'tool' %}{%- set ns.is_tool = true -%}{%- if ns.is_output_first %}{{'<｜tool▁outputs▁begin｜><｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- set ns.is_output_first = false %}{%- else %}{{'\\n<｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- endif %}{%- endif %}{%- endfor -%}{% if ns.is_tool %}{{'<｜tool▁outputs▁end｜>'}}{% endif %}{% if add_generation_prompt and not ns.is_tool %}{{'<｜Assistant｜><think>\\n'}}{% endif %}",
-  "clean_up_tokenization_spaces": false,
-  "eos_token": "<｜end▁of▁sentence｜>",
-  "extra_special_tokens": {},
-  "legacy": true,
-  "model_max_length": 16384,
-  "pad_token": "<｜end▁of▁sentence｜>",
-  "padding_side": "left",
-  "sp_model_kwargs": {},
-  "tokenizer_class": "LlamaTokenizer",
-  "unk_token": null,
-  "use_default_system_prompt": false
-}