MNLP M2 Mcqa Model is an open-source language model by Jukess. Features: 0.6b LLM, VRAM: 2.4GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.19.
Autotrain compatible Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-0.6b-bas... Conversational Endpoints compatible Generated from trainer Qwen3 Region:us Safetensors Tensorboard
Model Card on HF 🤗: https://huggingface.co/Jukess/MNLP_M2_mcqa_model
MNLP M2 Mcqa Model 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)
MNLP M2 Mcqa Model Parameters and Internals
| LLM Name | MNLP M2 Mcqa Model |
| Repository 🤗 | https://huggingface.co/Jukess/MNLP_M2_mcqa_model |
| Base Model(s) | |
| Model Size | 0.6b |
| Required VRAM | 2.4 GB |
| Updated | 2025-09-19 |
| Maintainer | Jukess |
| Model Type | qwen3 |
| Model Files | |
| Model Architecture | Qwen3ForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.51.3 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151936 |
| Torch Data Type | float32 |
| Errors | replace |
Best Alternatives to MNLP M2 Mcqa Model
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen3 Reranker 0.6B | 40K / 1.2 GB | 1577919 | 346 |
| Qwen3 0.6B FP8 | 40K / 1.1 GB | 1715405 | 58 |
| Meet7.5 0.6b Writer Exp | 40K / 1.2 GB | 410 | 0 |
| Palindrome Sft V2 Qwen3 | 40K / 2.4 GB | 81 | 0 |
| Palindrome Sft Qwen3 | 40K / 2.4 GB | 71 | 0 |
| Qwen3 0.6B | 40K / 1.2 GB | 259542 | 20 |
| Meet7.5 0.6B | 40K / 1.2 GB | 349 | 0 |
| RexReranker 0.6B | 40K / 1.2 GB | 2754 | 10 |
| Medical QA | 40K / 1.2 GB | 452 | 1 |
| Meet7.1 0.6B | 40K / 1.2 GB | 164 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than Jukess/MNLP_M2_mcqa_model .
Rank the MNLP M2 Mcqa Model Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a