Base model:finetune:unsloth/qw... Base model:unsloth/qwen3-0.6b-... Conversational En Endpoints compatible Qwen3 Region:us Safetensors Sft Trl Unsloth
Model Card on HF 🤗: https://huggingface.co/asazheng/MCQA_model_CamelOnly
MCQA Model CamelOnly Benchmarks
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)
MCQA Model CamelOnly Parameters and Internals
| LLM Name | MCQA Model CamelOnly |
| Repository 🤗 | https://huggingface.co/asazheng/MCQA_model_CamelOnly |
| Base Model(s) | |
| Model Size | 0.6b |
| Required VRAM | 1.2 GB |
| Updated | 2025-12-14 |
| Maintainer | asazheng |
| Model Type | qwen3 |
| Model Files | |
| Supported Languages | en |
| Model Architecture | Qwen3ForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.52.3 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|vision_pad|> |
| Vocabulary Size | 151936 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to MCQA Model CamelOnly
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen3 Reranker 0.6B | 40K / 1.2 GB | 781059 | 239 |
| Qwen3 0.6B FP8 | 40K / 1.1 GB | 1658127 | 57 |
| Qwen3 0.6B | 40K / 1.2 GB | 29258 | 15 |
| Qwen3 0.6B | 40K / 1.2 GB | 6829 | 3 |
| Kimina Prover Distill 0.6B | 40K / 1.5 GB | 1344 | 1 |
| OuteTTS 1.0 0.6B | 40K / 1.2 GB | 942 | 90 |
| Luth 0.6B Instruct | 40K / 1.2 GB | 222 | 9 |
| RStar Coder Qwen3 0.6B | 40K / 1.2 GB | 173 | 7 |
| PARD Qwen3 0.6B | 40K / 1.5 GB | 373 | 1 |
| Anonymizer 0.6B | 40K / 1.2 GB | 59 | 3 |
Note: green Score (e.g. "73.2") means that the model is better than asazheng/MCQA_model_CamelOnly .
Rank the MCQA Model CamelOnly Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124