Autotrain compatible Conversational En Endpoints compatible Medical Mixtral Moe Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/ai-anytime/MedPaxTral-2x7b
MedPaxTral 2x7b 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)
MedPaxTral 2x7b Parameters and Internals
| LLM Name | MedPaxTral 2x7b |
| Repository 🤗 | https://huggingface.co/ai-anytime/MedPaxTral-2x7b |
| Model Size | 10.3b |
| Required VRAM | 20.7 GB |
| Updated | 2025-11-21 |
| Maintainer | ai-anytime |
| Model Type | mixtral |
| Model Files | |
| Supported Languages | en |
| Model Architecture | MixtralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.38.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <s> |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to MedPaxTral 2x7b
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Medical MoE 2x7b | 32K / 20.7 GB | 5 | 0 |
| IbuMedTrial 2x7B | 32K / 20.7 GB | 5 | 0 |
| MedPaxTral 2x7b | 32K / 20.7 GB | 10 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than ai-anytime/MedPaxTral-2x7b .
Rank the MedPaxTral 2x7b Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124