Autotrain compatible Conversational Endpoints compatible Mixtral Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/BEE-spoke-data/Mixtral-GQA-400m-v4-4096
Mixtral GQA 400M V4.4096 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)
Mixtral GQA 400M V4.4096 Parameters and Internals
| LLM Name | Mixtral GQA 400M V4.4096 |
| Repository 🤗 | https://huggingface.co/BEE-spoke-data/Mixtral-GQA-400m-v4-4096 |
| Model Size | 400m |
| Required VRAM | 8.1 GB |
| Updated | 2025-09-16 |
| Maintainer | BEE-spoke-data |
| Model Type | mixtral |
| Model Files | |
| Model Architecture | MixtralForCausalLM |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.37.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32000 |
| Torch Data Type | float32 |
Best Alternatives to Mixtral GQA 400M V4.4096
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mixtral GQA 400M V2 | 4K / 4.3 GB | 1774 | 1 |
| Mixtral Smol 400M | 4K / 25.1 GB | 7 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than BEE-spoke-data/Mixtral-GQA-400m-v4-4096 .
Rank the Mixtral GQA 400M V4.4096 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124