commit 592284eeea0db5f2bc29de41da870e7ac4fdf853 Author: ModelHub XC Date: Sat Jun 13 15:42:13 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: dphn/Dolphin3.0-Qwen2.5-3b Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..52373fe --- /dev/null +++ b/.gitattributes @@ -0,0 +1,36 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text +tokenizer.json filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000..5f19d9c --- /dev/null +++ b/README.md @@ -0,0 +1,121 @@ +--- +license: other +license_name: qwen-research +license_link: https://huggingface.co/Qwen/Qwen2.5-3B/blob/main/LICENSE +datasets: +- OpenCoder-LLM/opc-sft-stage1 +- OpenCoder-LLM/opc-sft-stage2 +- microsoft/orca-agentinstruct-1M-v1 +- microsoft/orca-math-word-problems-200k +- NousResearch/hermes-function-calling-v1 +- AI-MO/NuminaMath-CoT +- AI-MO/NuminaMath-TIR +- allenai/tulu-3-sft-mixture +- cognitivecomputations/dolphin-coder +- HuggingFaceTB/smoltalk +- cognitivecomputations/samantha-data +- m-a-p/CodeFeedback-Filtered-Instruction +- m-a-p/Code-Feedback +language: +- en +base_model: +- Qwen/Qwen2.5-3B +--- + +# Dolphin 3.0 Qwen 2.5 3B 🐬 +Part of the [Dolphin 3.0 Collection](https://huggingface.co/collections/cognitivecomputations/dolphin-30-677ab47f73d7ff66743979a3) + +Curated and trained by [Eric Hartford](https://huggingface.co/ehartford), [Ben Gitter](https://huggingface.co/bigstorm), [BlouseJury](https://huggingface.co/BlouseJury) and [Cognitive Computations](https://huggingface.co/cognitivecomputations) + +[![Discord](https://img.shields.io/discord/1156064224225808488?logo=Discord&logoColor=%23ffffff&label=Discord&link=https%3A%2F%2Fdiscord.gg%2FtCMkMDDHwm)](https://discord.gg/cognitivecomputations) +Discord: https://discord.gg/cognitivecomputations + + + +## Sponsors +Our appreciation for the generous sponsors of Dolphin 3.0: +- [Crusoe Cloud](https://crusoe.ai/) - provided 16x L40s for training and evals +- [Akash](https://akash.network/) - provided on-demand 8x H100 for training +- [Lazarus](https://www.lazarusai.com/) - provided 16x H100 for training +- [Cerebras](https://cerebras.ai/) - provided excellent and fast inference services for data labeling +- [Andreessen Horowitz](https://a16z.com/) - provided a [grant](https://a16z.com/supporting-the-open-source-ai-community/) that make Dolphin 1.0 possible and enabled me to bootstrap my homelab + +## What is Dolphin? + +Dolphin 3.0 is the next generation of the Dolphin series of instruct-tuned models. Designed to be the ultimate general purpose local model, enabling coding, math, agentic, function calling, and general use cases. + +Dolphin aims to be a general purpose model, similar to the models behind ChatGPT, Claude, Gemini. But these models present problems for businesses seeking to include AI in their products. +1) They maintain control of the system prompt, deprecating and changing things as they wish, often causing software to break. +2) They maintain control of the model versions, sometimes changing things silently, or deprecating older models that your business relies on. +3) They maintain control of the alignment, and in particular the alignment is one-size-fits all, not tailored to the application. +4) They can see all your queries and they can potentially use that data in ways you wouldn't want. +Dolphin, in contrast, is steerable and gives control to the system owner. You set the system prompt. You decide the alignment. You have control of your data. Dolphin does not impose its ethics or guidelines on you. You are the one who decides the guidelines. + +Dolphin belongs to YOU, it is your tool, an extension of your will. +Just as you are personally responsible for what you do with a knife, gun, fire, car, or the internet, you are the creator and originator of any content you generate with Dolphin. + +https://erichartford.com/uncensored-models + +## Chat Template + +We use ChatML for the chat template. + +``` +<|im_start|>system +You are Dolphin, a helpful AI assistant.<|im_end|> +<|im_start|>user +{prompt}<|im_end|> +<|im_start|>assistant +``` + +## System Prompt + +In Dolphin, the system prompt is what you use to set the tone and alignment of the responses. You can set a character, a mood, rules for its behavior, and it will try its best to follow them. + +Make sure to set the system prompt in order to set the tone and guidelines for the responses - Otherwise, it will act in a default way that might not be what you want. + +Example use of system prompt: + +``` +<|im_start|>system +You are Dolphin, a golang coding assistant. you only code in golang. If the user requests any other programming language, return the solution in golang instead.<|im_end|> +<|im_start|>user +Please implement A* using python<|im_end|> +<|im_start|>assistant +``` + +## Sample Outputs + +TBD + +## How to use + +There are many ways to use a huggingface model including: +- ollama +- LM Studio +- Huggingface Transformers library +- vllm +- sglang +- tgi + +## Evals + +TBD + +## Appreciation + +Respect and thanks to the creators of the open source datasets that were used: +- [OpenCoder-LLM](https://huggingface.co/OpenCoder-LLM) (opc-sft-stage1, opc-sft-stage2) +- [microsoft](https://huggingface.co/OpenCoder-LLM) (orca-agentinstruct-1M-v1, orca-math-word-problems-200k) +- [NousResearch](https://huggingface.co/NousResearch) (hermes-function-calling-v1) +- [AI-MO](https://huggingface.co/AI-MO) (NuminaMath-CoT, NuminaMath-TIR) +- [allenai](https://huggingface.co/allenai) (tulu-3-sft-mixture) +- [HuggingFaceTB](https://huggingface.co/HuggingFaceTB) (smoltalk) +- [m-a-p](https://huggingface.co/m-a-p) (CodeFeedback-Filtered-Instruction, Code-Feedback) + +Special thanks to +- Meta, Qwen, and OpenCoder, who wrote papers and published models that were instrumental in creating Dolphin 3.0. +- [RLHFlow](https://huggingface.co/RLHFlow) for the excellent reward model used to filter the datasets +- Deepseek, for the ridiculously fast Deepseek-V3 that we used to augment the data. + + diff --git a/added_tokens.json b/added_tokens.json new file mode 100644 index 0000000..482ced4 --- /dev/null +++ b/added_tokens.json @@ -0,0 +1,24 @@ +{ + "": 151658, + "": 151657, + "<|box_end|>": 151649, + "<|box_start|>": 151648, + "<|endoftext|>": 151643, + "<|file_sep|>": 151664, + "<|fim_middle|>": 151660, + "<|fim_pad|>": 151662, + "<|fim_prefix|>": 151659, + "<|fim_suffix|>": 151661, + "<|im_end|>": 151645, + "<|im_start|>": 151644, + "<|image_pad|>": 151655, + "<|object_ref_end|>": 151647, + "<|object_ref_start|>": 151646, + "<|quad_end|>": 151651, + 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}}\n {%- else %}\n {{- '<|im_start|>system\\nYou 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\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n 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