Autotrain compatible Base model:finetune:unsloth/qw... Base model:unsloth/qwen3-0.6b-... Dataset:andresnowak/mnlp mcqa ... Endpoints compatible Generated from trainer Qwen3 Region:us Safetensors Sft Trl Unsloth
Model Card on HF 🤗: https://huggingface.co/andresnowak/Qwen3-0.6B-MNLP_mcqa_model_text
Qwen3 0.6B MNLP Mcqa Model Text 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)
Qwen3 0.6B MNLP Mcqa Model Text Parameters and Internals
| LLM Name | Qwen3 0.6B MNLP Mcqa Model Text |
| Repository 🤗 | https://huggingface.co/andresnowak/Qwen3-0.6B-MNLP_mcqa_model_text |
| Model Name | Qwen3-0.6B-MNLP_mcqa_model_text |
| Base Model(s) | |
| Model Size | 0.6b |
| Required VRAM | 1.2 GB |
| Updated | 2025-06-09 |
| Maintainer | andresnowak |
| Model Type | qwen3 |
| Model Files | |
| Model Architecture | Qwen3ForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.51.3 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|vision_pad|> |
| Vocabulary Size | 151936 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to Qwen3 0.6B MNLP Mcqa Model Text
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen3 Reranker 0.6B | 40K / 1.2 GB | 4859 | 77 |
| OuteTTS 1.0 0.6B | 40K / 1.2 GB | 3123 | 83 |
| Qwen3 0.6B FP8 | 40K / 1.1 GB | 4834 | 45 |
| Qwen3 0.6B | 40K / 1.2 GB | 19493 | 7 |
| Qwen3 0.6B Bf16 | 40K / 1.2 GB | 1812 | 5 |
| Qwen3 0.6B Medical Expert | 40K / 1.2 GB | 620 | 3 |
| SFT DART | 40K / 1.2 GB | 42 | 0 |
| Qwen3 0.6B Abliterated | 40K / 1.2 GB | 483 | 6 |
| Smoothie Qwen3 0.6B | 40K / 1.2 GB | 644 | 1 |
| ...fied Qwen3 0.6B Abliterated V1 | 40K / 1.2 GB | 477 | 3 |
Note: green Score (e.g. "73.2") means that the model is better than andresnowak/Qwen3-0.6B-MNLP_mcqa_model_text .
Rank the Qwen3 0.6B MNLP Mcqa Model Text Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124