Upload folder using huggingface_hub

.gitattributes

@@ -33,3 +33,18 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
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 *tfevents* filter=lfs diff=lfs merge=lfs -text
+RL_scale.jpeg filter=lfs diff=lfs merge=lfs -text
+close_performance.png filter=lfs diff=lfs merge=lfs -text
+main_logo.png filter=lfs diff=lfs merge=lfs -text
+mid_train_scale.jpeg filter=lfs diff=lfs merge=lfs -text
+open_performance.png filter=lfs diff=lfs merge=lfs -text
+open_performance_white.png filter=lfs diff=lfs merge=lfs -text
+test_time_scale.jpeg filter=lfs diff=lfs merge=lfs -text
+assets/test_time_scale.jpeg filter=lfs diff=lfs merge=lfs -text
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+assets/mid_train_scale.jpeg filter=lfs diff=lfs merge=lfs -text
+assets/open_performance_white.png filter=lfs diff=lfs merge=lfs -text
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+assets/RL_scale.jpeg filter=lfs diff=lfs merge=lfs -text
+assets/open_performance.png filter=lfs diff=lfs merge=lfs -text
+*.jsonl filter=lfs diff=lfs merge=lfs -text

LICENSE.md

@@ -0,0 +1,2 @@
+- Kimi-Dev-72B is built with Qwen-2.5-72B. Qwen-2.5-72B is licensed under the [Qwen LICENSE AGREEMENT](https://huggingface.co/Qwen/Qwen2.5-72B/blob/main/LICENSE), Copyright (c) Alibaba Cloud. All Rights Reserved.
+- Subject to the Qwen LICENSE AGREEMENT, Kimi-Dev-72B is under MIT license.

README.md

@@ -1,43 +1,102 @@
 ---
-base_model: moonshotai/Kimi-Dev-72B
-base_model_relation: quantized
-quantized_by: ArtusDev
 license: mit
+base_model:
+- Qwen/Qwen2.5-72B
 tags:
 - code
 - swebench
 - software
 - issue-resolving
-- exl3
 library_name: transformers
 ---
+<!-- # Kimi-Dev -->
 
-## EXL3 Quants of moonshotai/Kimi-Dev-72B
+<div align="center">
+  <img src="./assets/main_logo.png" alt="Kimi Logo" width="400" />
+<h2><a href="https://moonshotai.github.io/Kimi-Dev/">
+Introducing Kimi-Dev: <br>A Strong and Open-source Coding LLM for Issue Resolution</a></h2>
+</a></h2>
+<b>Kimi-Dev Team</b>
+<br>
 
-EXL3 quants of [moonshotai/Kimi-Dev-72B](https://huggingface.co/moonshotai/Kimi-Dev-72B) using <a href="https://github.com/turboderp-org/exllamav3/">exllamav3</a> for quantization.
+</div>
+<div align="center">
+  <a href="">
+    <b>📄 Tech Report (Coming soon...)</b>
+  </a> &nbsp;|&nbsp;
+  <a href="https://github.com/MoonshotAI/Kimi-Dev">
+    <b>📄 Github</b>
+  </a> &nbsp;
+</div>
 
-### Quants
-| Quant(Revision) | Bits per Weight | Head Bits |
-| -------- | ---------- | --------- |
-| [3.5_H6](https://huggingface.co/ArtusDev/moonshotai_Kimi-Dev-72B-EXL3/tree/3.5bpw_H6) | 3.5 | 6 |
-| [5.0_H6](https://huggingface.co/ArtusDev/moonshotai_Kimi-Dev-72B-EXL3/tree/5.0bpw_H6) | 5.0 | 6 |
-| [8.0_H6](https://huggingface.co/ArtusDev/moonshotai_Kimi-Dev-72B-EXL3/tree/8.0bpw_H6) | 8.0 | 6 |
-| [8.0_H8](https://huggingface.co/ArtusDev/moonshotai_Kimi-Dev-72B-EXL3/tree/8.0bpw_H8) | 8.0 | 8 |
+<br>
+<br>
 
-### Downloading quants with huggingface-cli
+<!-- https://github.com/MoonshotAI/Kimi-Dev -->
 
-<details>
-  <summary>Click to view download instructions</summary>
+We introduce Kimi-Dev-72B, our new open-source coding LLM for software engineering tasks. Kimi-Dev-72B achieves a new state-of-the-art on SWE-bench Verified among open-source models.
 
-Install hugginface-cli:
+- Kimi-Dev-72B achieves 60.4% performance on SWE-bench Verified. It surpasses the runner-up, setting a new state-of-the-art result among open-source models.
 
-```bash
-pip install -U "huggingface_hub[cli]"
+
+- Kimi-Dev-72B is optimized via large-scale reinforcement learning. It autonomously patches real repositories in Docker and gains rewards only when the entire test suite passes. This ensures correct and robust solutions, aligning with real-world development standards.
+
+
+- Kimi-Dev-72B is available for download and deployment on Hugging Face and GitHub. We welcome developers and researchers to explore its capabilities and contribute to development.
+
+
+<div align="center">
+  <img src="./assets/open_performance_white.png" alt="Kimi Logo" width="600" />
+  <p><b>Performance of Open-source Models on SWE-bench Verified.</b></p>
+
+</div>
+
+
+
+## Quick Start
 ```
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_name = "moonshotai/Kimi-Dev-72B"
+
+model = AutoModelForCausalLM.from_pretrained(
+    model_name,
+    torch_dtype="auto",
+    device_map="auto"
+)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
 
-Download quant by targeting the specific quant revision (branch):
+prompt = "Give me a short introduction to large language model."
+messages = [
+    {"role": "system", "content": "You are a helpful assistant."},
+    {"role": "user", "content": prompt}
+]
+text = tokenizer.apply_chat_template(
+    messages,
+    tokenize=False,
+    add_generation_prompt=True
+)
+model_inputs = tokenizer([text], return_tensors="pt").to(model.device)
+
+generated_ids = model.generate(
+    **model_inputs,
+    max_new_tokens=512
+)
+generated_ids = [
+    output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids)
+]
+
+response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
 
 ```
-huggingface-cli download ArtusDev/moonshotai_Kimi-Dev-72B-EXL3 --revision "5.0bpw_H6" --local-dir ./
+
+## Citation
 ```
-</details>
+@misc{kimi_dev_72b_2025,
+  title        = {Introducing Kimi-Dev: A Strong and Open-source Coding LLM for Issue Resolution},
+  author       = {{Kimi-Dev Team}},
+  year         = {2025},
+  month        = {June},
+  url          = {\url{https://www.moonshot.cn/Kimi-Dev}}
+}
+```

config.json

@@ -0,0 +1,38 @@
+{
+    "architectures": [
+        "Qwen2ForCausalLM"
+    ],
+    "attention_dropout": 0.0,
+    "bos_token_id": 151643,
+    "eos_token_id": 151645,
+    "hidden_act": "silu",
+    "hidden_size": 8192,
+    "initializer_range": 0.02,
+    "intermediate_size": 29568,
+    "max_position_embeddings": 131072,
+    "max_window_layers": 70,
+    "model_type": "qwen2",
+    "num_attention_heads": 64,
+    "num_hidden_layers": 80,
+    "num_key_value_heads": 8,
+    "rms_norm_eps": 1e-06,
+    "rope_theta": 1000000.0,
+    "sliding_window": 131072,
+    "tie_word_embeddings": false,
+    "torch_dtype": "bfloat16",
+    "transformers_version": "4.43.1",
+    "use_cache": true,
+    "use_sliding_window": false,
+    "vocab_size": 152064,
+    "quantization_config": {
+        "quant_method": "exl3",
+        "version": "0.0.4",
+        "bits": 2.5,
+        "head_bits": 6,
+        "calibration": {
+            "rows": 100,
+            "cols": 2048
+        },
+        "out_scales": "auto"
+    }
+}

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tokenizer_config.json

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+{
+  "add_bos_token": false,
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151644": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151645": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151646": {
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+      "lstrip": false,
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+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151647": {
+      "content": "<|object_ref_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151648": {
+      "content": "<|box_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151649": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151650": {
+      "content": "<|quad_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151651": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "151652": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151653": {
+      "content": "<|vision_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151654": {
+      "content": "<|vision_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151655": {
+      "content": "<|image_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "lstrip": false,
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+      "special": true
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+      "content": "<tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151658": {
+      "content": "</tool_call>",
+      "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
+    },
+    "151660": {
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+      "lstrip": false,
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+      "special": false
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+      "normalized": false,
+      "rstrip": false,
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+    "151663": {
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+      "special": false
+    },
+    "151664": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "bos_token": null,
+  "chat_template": "{%- if tools %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if messages[0]['role'] == 'system' %}\n        {{- messages[0]['content'] }}\n    {%- else %}\n        {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}\n    {%- endif %}\n    {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n    {%- if messages[0]['role'] == 'system' %}\n        {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n    {%- else %}\n        {{- '<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n        {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {{- '<|im_start|>' + message.role }}\n        {%- if message.content %}\n            {{- '\\n' + message.content }}\n        {%- endif %}\n        {%- for tool_call in message.tool_calls %}\n            {%- if tool_call.function is defined %}\n                {%- set tool_call = tool_call.function %}\n            {%- endif %}\n            {{- '\\n<tool_call>\\n{\"name\": \"' }}\n            {{- tool_call.name }}\n            {{- '\", \"arguments\": ' }}\n            {{- tool_call.arguments | tojson }}\n            {{- '}\\n</tool_call>' }}\n        {%- endfor %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- message.content }}\n        {{- '\\n</tool_response>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}