Arxiv:1910.09700 Autotrain compatible Endpoints compatible Mixtral Moe Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/qnguyen3/Mixtral-4x400M
Mixtral 4x400M 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 4x400M Parameters and Internals
| LLM Name | Mixtral 4x400M |
| Repository 🤗 | https://huggingface.co/qnguyen3/Mixtral-4x400M |
| Model Size | 1.8b |
| Required VRAM | 7.1 GB |
| Updated | 2025-10-18 |
| Maintainer | qnguyen3 |
| 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 | <unk> |
| Vocabulary Size | 38365 |
| Torch Data Type | float32 |
Best Alternatives to Mixtral 4x400M
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mixsmol 4x400M V0.1 Epoch1 | 4K / 3.5 GB | 5 | 11 |
| Mixsmol 4x400M V0.1 Epoch2 | 4K / 3.5 GB | 6 | 5 |
| Mixsmol 4x400M V0.1 Epoch3 | 4K / 3.5 GB | 4 | 5 |
| Tiny Llama 1.8B | 2K / 3.7 GB | 0 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than qnguyen3/Mixtral-4x400M .
Rank the Mixtral 4x400M Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124