4bit Autotrain compatible 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 Sft Sharded Tensorflow Trl Unsloth
Model Card on HF 🤗: https://huggingface.co/kms7530/chemeng_qwen-math-7b_24_1_100_1_nonmath
Chemeng Qwen Math 7b 24 1 100 1 Nonmath Benchmarks
MMLU Pro: 16.13
GPQA: 5.37
MUSR: 9.45
BBH: 14.14
IFEval: 25.84 vs 88 (so35)-70.6%
MATH Lvl 5: 28.63
LLME Score: 0.27977
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 Nonmath Parameters and Internals
| LLM Name | Chemeng Qwen Math 7b 24 1 100 1 Nonmath |
| Repository 🤗 | https://huggingface.co/kms7530/chemeng_qwen-math-7b_24_1_100_1_nonmath |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 15.2 GB |
| Updated | 2025-01-25 |
| Maintainer | kms7530 |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| GGUF Quantization | Yes |
| Quantization Type | gguf|4bit |
| Model Architecture | AutoModelForCausalLM |
| 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|o_proj|gate_proj|q_proj|v_proj|k_proj|up_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0 |
| R Param | 16 |
| Errors | replace |
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Note: green Score (e.g. "73.2") means that the model is better than kms7530/chemeng_qwen-math-7b_24_1_100_1_nonmath .
Rank the Chemeng Qwen Math 7B 24 1 100 1 Nonmath Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227