Autotrain compatible Conversational Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/coco101010/mcqa
Mcqa 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 Parameters and Internals
| LLM Name | Mcqa |
| Repository 🤗 | https://huggingface.co/coco101010/mcqa |
| Model Size | 3.8b |
| Required VRAM | 7.6 GB |
| Updated | 2025-09-23 |
| Maintainer | coco101010 |
| Model Type | mistral |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.41.0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <|placeholder6|> |
| Vocabulary Size | 32064 |
| Torch Data Type | float16 |
Best Alternatives to Mcqa
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Astral 128K | 125K / 7.5 GB | 4 | 1 |
| Zephyrnt 3.8B | 32K / 7.5 GB | 16 | 0 |
| Phi 3 Mini 4K Instruct | 4K / 7.6 GB | 14639 | 45 |
| Llama Phi 3 DoRA | 4K / 7.6 GB | 5 | 6 |
| Barcenas 3.8B | 4K / 7.6 GB | 7 | 1 |
| Phi Pandalm | 4K / 7.6 GB | 5 | 0 |
| Hermes | 4K / 7.6 GB | 7 | 1 |
| Empty Phi 3 Mini | 4K / 7.6 GB | 5 | 0 |
| ...i3 Short Story Merged Bfloat16 | 4K / 7.6 GB | 20 | 1 |
| ...ling Assistant Spanish Pofi V2 | 4K / 7.7 GB | 8 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than coco101010/mcqa .
Rank the Mcqa Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124