4bit Base model:quantized:unsloth/q... Base model:unsloth/qwen2.5-mat... Conversational Dataset:kms7530/chemeng En Endpoints compatible Gguf Instruct Lora Pytorch Quantized Qwen2 Region:us Safetensors Sharded Trl Unsloth
Model Card on HF 🤗: https://huggingface.co/kms7530/chemeng_qwen-math-7b_24_1_100_1
Chemeng Qwen Math 7b 24 1 100 1 Benchmarks
MMLU Pro: 17.77
GPQA: 4.59
MUSR: 6.24
BBH: 16.46
IFEval: 17.98 vs 88 (so35)-79.6%
MATH Lvl 5: 14.8
LLME Score: 0.26155
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Chemeng Qwen Math 7B 24 1 100 1 Parameters and Internals
| LLM Name | Chemeng Qwen Math 7b 24 1 100 1 |
| Repository 🤗 | https://huggingface.co/kms7530/chemeng_qwen-math-7b_24_1_100_1 |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 15.2 GB |
| Updated | 2025-02-04 |
| Maintainer | kms7530 |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| GGUF Quantization | Yes |
| Quantization Type | gguf|4bit |
| Model Architecture | AutoModel |
| License | apache-2.0 |
| Model Max Length | 4096 |
| Is Biased | none |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|PAD_TOKEN|> |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | down_proj|q_proj|v_proj|up_proj|o_proj|gate_proj|k_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0 |
| R Param | 16 |
| Errors | replace |
Best Alternatives to Chemeng Qwen Math 7B 24 1 100 1
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Pixel | 8K / 4.4 GB | 17 | 0 |
| Mistral 7B Instruct V0.3 GGUF | 0K / 1.6 GB | 1348492 | 78 |
| Qwen2 7B Instruct GGUF | 0K / 1.9 GB | 1220747 | 11 |
| Mistral V0.3 7B Cybersecurity | 0K / 14.5 GB | 129 | 1 |
| QwQ LCoT 7B Instruct GGUF | 0K / 4.7 GB | 369 | 9 |
| Mistral 7B Instruct V0.3 GGUF | 0K / 2.7 GB | 64687 | 9 |
| Neumind Math 7B Instruct GGUF | 0K / 4.7 GB | 184 | 8 |
| Qwen2 7B Instruct V0.6 GGUF | 0K / 4.5 GB | 13522 | 0 |
| Qwen UMLS 7B Instruct GGUF | 0K / 4.7 GB | 111 | 8 |
| Mistral 7B Instruct V0.2 GGUF | 0K / 3.1 GB | 80358 | 414 |
Note: green Score (e.g. "73.2") means that the model is better than kms7530/chemeng_qwen-math-7b_24_1_100_1 .
Rank the Chemeng Qwen Math 7B 24 1 100 1 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227