commit d4836e2ea6f1861d211fd45fcd46f1693cb516c9 Author: ModelHub XC Date: Fri Apr 24 23:08:35 2026 +0800 初始化项目,由ModelHub XC社区提供模型 Model: ertghiu256/Qwen3-4b-tcomanr-merge-v2.2 Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..a597cef --- /dev/null +++ b/.gitattributes @@ -0,0 +1,39 @@ +*.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 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filter=lfs diff=lfs merge=lfs -text +Tcomanr-V2_2-4.0B-Q8_0.gguf 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..4ff3116 --- /dev/null +++ b/README.md @@ -0,0 +1,205 @@ +--- +base_model: +- huihui-ai/Huihui-Qwen3-4B-Thinking-2507-abliterated +- Tesslate/UIGEN-T3-4B-Preview-MAX +- ValiantLabs/Qwen3-4B-Esper3 +- ValiantLabs/Qwen3-4B-ShiningValiant3 +- ertghiu256/Qwen3-Hermes-4b +- ertghiu256/qwen3-math-reasoner +- ertghiu256/deepseek-r1-0528-distilled-qwen3 +- ertghiu256/qwen-3-4b-mixture-of-thought +- Qwen/Qwen3-4B-Thinking-2507 +- POLARIS-Project/Polaris-4B-Preview +- ertghiu256/qwen3-multi-reasoner +- ertghiu256/qwen3-4b-code-reasoning +library_name: transformers +tags: +- mergekit +- merge +- thinking +- think +- reasoning +- reason +- code +- math +- qwen +- qwen3 +new_version: ertghiu256/Qwen3-4b-tcomanr-merge-v2.3 +--- +# Ties merged COde MAth aNd Reasoning model +This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). + +## Merge Details +This model is a revision of the [ertghiu256/Qwen3-4b-tcomanr-merge-v2](https://huggingface.co/ertghiu256/Qwen3-4b-tcomanr-merge-v2/) + +This model aims to combine the code and math capabilities by merging Qwen 3 2507 with multiple Qwen 3 finetunes. + +# How to run +You can run this model by using multiple interface choices + +## Transformers +As the qwen team suggested to use +```python +from transformers import AutoModelForCausalLM, AutoTokenizer + +model_name = "ertghiu256/Qwen3-4b-tcomanr-merge-v2.2" + +# load the tokenizer and the model +tokenizer = AutoTokenizer.from_pretrained(model_name) +model = AutoModelForCausalLM.from_pretrained( + model_name, + torch_dtype="auto", + device_map="auto" +) + +# prepare the model input +prompt = "Give me a short introduction to large language model." +messages = [ + {"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) + +# conduct text completion +generated_ids = model.generate( + **model_inputs, + max_new_tokens=32768 +) +output_ids = generated_ids[0][len(model_inputs.input_ids[0]):].tolist() + +# parsing thinking content +try: + # rindex finding 151668 () + index = len(output_ids) - output_ids[::-1].index(151668) +except ValueError: + index = 0 + +thinking_content = tokenizer.decode(output_ids[:index], skip_special_tokens=True).strip("\n") +content = tokenizer.decode(output_ids[index:], skip_special_tokens=True).strip("\n") + +print("thinking content:", thinking_content) # no opening tag +print("content:", content) +``` + +## Vllm +Run this command +```bash +vllm serve ertghiu256/Qwen3-4b-tcomanr-merge-v2.2 --enable-reasoning --reasoning-parser deepseek_r1 +``` + +## Sglang +Run this command +```bash +python -m sglang.launch_server --model-path ertghiu256/Qwen3-4b-tcomanr-merge-v2.2 --reasoning-parser deepseek-r1 +``` + +## llama.cpp +Run this command +```bash +llama-server --hf-repo ertghiu256/Qwen3-4b-tcomanr-merge-v2.2 +``` +or +```bash +llama-cli --hf ertghiu256/Qwen3-4b-tcomanr-merge-v2.2 +``` + +## Ollama +Run this command +```bash +ollama run hf.co/ertghiu256/Qwen3-4b-tcomanr-merge-v2.2:Q8_0 +``` +or +```bash +ollama run hf.co/ertghiu256/Qwen3-4b-tcomanr-merge-v2.2:Q5_K_M +``` + +## LM Studio +Search +``` +ertghiu256/Qwen3-4b-tcomanr-merge-v2.2 +``` +in the lm studio model search list then download + +### Recomended parameters +``` +temp: 0.7 +num_ctx: ≥8192 +top_p: 0.95 +top_k: 40 +Repeat Penalty: 1.1 +``` + +### Merge Method + +This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [Qwen/Qwen3-4B-Thinking-2507](https://huggingface.co/Qwen/Qwen3-4B-Thinking-2507) as a base. + +### Models Merged + +The following models were included in the merge: +* [huihui-ai/Huihui-Qwen3-4B-Thinking-2507-abliterated](https://huggingface.co/huihui-ai/Huihui-Qwen3-4B-Thinking-2507-abliterated) +* [Tesslate/UIGEN-T3-4B-Preview-MAX](https://huggingface.co/Tesslate/UIGEN-T3-4B-Preview-MAX) +* [ValiantLabs/Qwen3-4B-Esper3](https://huggingface.co/ValiantLabs/Qwen3-4B-Esper3) +* [ValiantLabs/Qwen3-4B-ShiningValiant3](https://huggingface.co/ValiantLabs/Qwen3-4B-ShiningValiant3) +* [ertghiu256/Qwen3-Hermes-4b](https://huggingface.co/ertghiu256/Qwen3-Hermes-4b) +* [ertghiu256/qwen3-math-reasoner](https://huggingface.co/ertghiu256/qwen3-math-reasoner) +* [ertghiu256/deepseek-r1-0528-distilled-qwen3](https://huggingface.co/ertghiu256/deepseek-r1-0528-distilled-qwen3) +* [ertghiu256/qwen-3-4b-mixture-of-thought](https://huggingface.co/ertghiu256/qwen-3-4b-mixture-of-thought) +* [POLARIS-Project/Polaris-4B-Preview](https://huggingface.co/POLARIS-Project/Polaris-4B-Preview) +* [ertghiu256/qwen3-multi-reasoner](https://huggingface.co/ertghiu256/qwen3-multi-reasoner) +* [ertghiu256/qwen3-4b-code-reasoning](https://huggingface.co/ertghiu256/qwen3-4b-code-reasoning) + +### Configuration + +The following YAML configuration was used to produce this model: + +```yaml +models: + - model: ertghiu256/qwen3-math-reasoner + parameters: + weight: 0.8 + - model: ertghiu256/qwen3-4b-code-reasoning + parameters: + weight: 0.9 + - model: ertghiu256/qwen-3-4b-mixture-of-thought + parameters: + weight: 0.9 + - model: POLARIS-Project/Polaris-4B-Preview + parameters: + weight: 0.9 + - model: ertghiu256/qwen3-multi-reasoner + parameters: + weight: 0.8 + - model: ertghiu256/Qwen3-Hermes-4b + parameters: + weight: 0.8 + - model: ValiantLabs/Qwen3-4B-Esper3 + parameters: + weight: 0.8 + - model: Tesslate/UIGEN-T3-4B-Preview-MAX + parameters: + weight: 0.9 + - model: ValiantLabs/Qwen3-4B-ShiningValiant3 + parameters: + weight: 0.6 + - model: ertghiu256/deepseek-r1-0528-distilled-qwen3 + parameters: + weight: 0.1 + - model: huihui-ai/Huihui-Qwen3-4B-Thinking-2507-abliterated + parameters: + weight: 0.6 + - model: Qwen/Qwen3-4B-Thinking-2507 + parameters: + weight: 0.9 +merge_method: ties +base_model: Qwen/Qwen3-4B-Thinking-2507 +parameters: + normalize: true + int8_mask: true + lambda: 1.0 +dtype: float16 + +``` diff --git a/Tcomanr-V2_2-4.0B-F16.gguf b/Tcomanr-V2_2-4.0B-F16.gguf new file mode 100644 index 0000000..63b39d2 --- /dev/null +++ b/Tcomanr-V2_2-4.0B-F16.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:dad136848b4e5f1a00d5662d22f000ca39ef133ae648f3c7d3f8c6d1c9c1d334 +size 8051287648 diff --git a/Tcomanr-V2_2-4.0B-Q5_K_M.gguf b/Tcomanr-V2_2-4.0B-Q5_K_M.gguf new file mode 100644 index 0000000..6559954 --- /dev/null +++ b/Tcomanr-V2_2-4.0B-Q5_K_M.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:77832e36d59418ad75b1792bf2838c3863e74833b5ccf7a7b30f508e27566f43 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"full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention" + ], + "max_position_embeddings": 262144, + "max_window_layers": 36, + "model_type": "qwen3", + "num_attention_heads": 32, + "num_hidden_layers": 36, + "num_key_value_heads": 8, + "rms_norm_eps": 1e-06, + "rope_scaling": null, + "rope_theta": 5000000, + "sliding_window": null, + "tie_word_embeddings": true, + "torch_dtype": "float16", + "transformers_version": "4.55.4", + "use_cache": true, + "use_sliding_window": false, + "vocab_size": 151936 +} diff --git a/mergekit_config.yml b/mergekit_config.yml new file mode 100644 index 0000000..d235c43 --- /dev/null +++ b/mergekit_config.yml @@ -0,0 +1,44 @@ +models: + - model: ertghiu256/qwen3-math-reasoner + parameters: + weight: 0.8 + - model: ertghiu256/qwen3-4b-code-reasoning + parameters: + weight: 0.9 + - model: ertghiu256/qwen-3-4b-mixture-of-thought + parameters: + weight: 0.9 + - model: POLARIS-Project/Polaris-4B-Preview + parameters: + weight: 0.9 + - model: ertghiu256/qwen3-multi-reasoner + parameters: + weight: 0.8 + - model: ertghiu256/Qwen3-Hermes-4b + parameters: + weight: 0.8 + - model: ValiantLabs/Qwen3-4B-Esper3 + parameters: + weight: 0.8 + - model: Tesslate/UIGEN-T3-4B-Preview-MAX + parameters: + weight: 0.9 + - model: ValiantLabs/Qwen3-4B-ShiningValiant3 + parameters: + weight: 0.6 + - model: ertghiu256/deepseek-r1-0528-distilled-qwen3 + parameters: + weight: 0.1 + - model: huihui-ai/Huihui-Qwen3-4B-Thinking-2507-abliterated + parameters: + weight: 0.6 + - model: Qwen/Qwen3-4B-Thinking-2507 + 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"content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "151668": { + "content": "", + "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\\n' }}\n {%- endif %}\n {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within XML tags:\\n\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n\\n\\nFor each function call, return a json object with function name and arguments within XML tags:\\n\\n{\\\"name\\\": , \\\"arguments\\\": }\\n<|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n {%- set index = (messages|length - 1) - loop.index0 %}\n {%- if ns.multi_step_tool and message.role == \"user\" and message.content is string and not(message.content.startswith('') and message.content.endswith('')) %}\n {%- set ns.multi_step_tool = false %}\n {%- set ns.last_query_index = index %}\n {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n {%- if message.content is string %}\n {%- set content = message.content %}\n {%- else %}\n {%- set content = '' %}\n {%- endif %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n {{- '<|im_start|>' + message.role + '\\n' + content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {%- set reasoning_content = '' %}\n {%- if message.reasoning_content is string %}\n {%- set reasoning_content = message.reasoning_content %}\n {%- else %}\n {%- if '' in content %}\n {%- set reasoning_content = content.split('')[0].rstrip('\\n').split('')[-1].lstrip('\\n') %}\n {%- set content = content.split('')[-1].lstrip('\\n') %}\n {%- endif %}\n {%- endif %}\n {%- if loop.index0 > ns.last_query_index %}\n {%- if loop.last or (not loop.last and reasoning_content) %}\n {{- '<|im_start|>' + message.role + '\\n\\n' + reasoning_content.strip('\\n') + '\\n\\n\\n' + content.lstrip('\\n') }}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n\\n' }}\n {{- content }}\n {{- '\\n' }}\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' }}\n{%- endif %}", + "clean_up_tokenization_spaces": false, + "eos_token": "<|im_end|>", + "errors": "replace", + "model_max_length": 262144, + "pad_token": "<|endoftext|>", + "split_special_tokens": false, + "tokenizer_class": "Qwen2Tokenizer", + "unk_token": null, + "add_bos_token": false +} \ No newline at end of file