Allenai/tulu-2-dpo-7b Autotrain compatible Chaoyi-wu/pmc llama 7b 10 epoc... Endpoints compatible Epfl-llm/meditron-7b Merge Microsoft/orca-2-7b Mixtral Moe Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/Technoculture/Mediquad-4x7b
Mediquad 4x7b Benchmarks
ARC: 27.47 vs 96.7 (so35)-71.6%
HellaSwag: 28.21 vs 95.3 (gpt4)-70.4%
MMLU: 28.66 vs 88.3 (so35)-67.5%
TruthfulQA: 49.56 vs 59 (gpt4)-16%
WinoGrande: 50.51 vs 87.5 (gpt4)-42.3%
LLME Score: 0.19589
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)
Mediquad 4x7b Parameters and Internals
| Model Type |
|
| LLM Name | Mediquad 4x7b |
| Repository 🤗 | https://huggingface.co/Technoculture/Mediquad-4x7b |
| Model Size | 19.7b |
| Required VRAM | 39.4 GB |
| Updated | 2025-09-21 |
| Maintainer | Technoculture |
| Model Type | mixtral |
| Model Files | |
| Model Architecture | MixtralForCausalLM |
| License | apache-2.0 |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.37.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <s> |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Mediquad 4x7b
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| CodeLlama 4x7B Experts Base | 16K / 39.5 GB | 5 | 0 |
| Magician MoE 4x7B | 16K / 78.8 GB | 1650 | 1 |
| Medtulu 4x7B | 8K / 39.4 GB | 1648 | 0 |
| Medorca 4x7b | 4K / 39.4 GB | 1668 | 0 |
| GOAT Adapt MoE 4x7B | 2K / 39.4 GB | 5 | 3 |
Note: green Score (e.g. "73.2") means that the model is better than Technoculture/Mediquad-4x7b .
Rank the Mediquad 4x7b Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124