4-bit Autotrain compatible Awq Base model:mmnga/mixtral-fusio... Base model:quantized:mmnga/mix... Conversational De En Es Fr Instruct It Mixtral Moe Quantized Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/TheBloke/Mixtral-Fusion-4x7B-Instruct-v0.1-AWQ
Mixtral Fusion 4x7B Instruct V0.1 AWQ 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 Fusion 4x7B Instruct V0.1 AWQ Parameters and Internals
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| LLM Name | Mixtral Fusion 4x7B Instruct V0.1 AWQ |
| Repository 🤗 | https://huggingface.co/TheBloke/Mixtral-Fusion-4x7B-Instruct-v0.1-AWQ |
| Model Name | Mixtral Fusion 4X7B Instruct v0.1 |
| Model Creator | momonga |
| Base Model(s) | |
| Model Size | 3.5b |
| Required VRAM | 13 GB |
| Updated | 2025-02-22 |
| Maintainer | TheBloke |
| Model Type | mixtral |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | fr it de es en |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | MixtralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.37.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Rank the Mixtral Fusion 4x7B Instruct V0.1 AWQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227