4-bit Autotrain compatible Awq Base model:cloudyu/mixtral 34b... Base model:quantized:cloudyu/m... Mixtral Moe Quantized Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/TheBloke/Mixtral_34Bx2_MoE_60B-AWQ
Mixtral 34Bx2 MoE 60B 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 34Bx2 MoE 60B AWQ Parameters and Internals
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| LLM Name | Mixtral 34Bx2 MoE 60B AWQ |
| Repository 🤗 | https://huggingface.co/TheBloke/Mixtral_34Bx2_MoE_60B-AWQ |
| Model Name | Mixtral 34Bx2 MoE 60B |
| Model Creator | hai |
| Base Model(s) | |
| Model Size | 8.9b |
| Required VRAM | 32.8 GB |
| Updated | 2025-02-05 |
| Maintainer | TheBloke |
| Model Type | mixtral |
| Model Files | |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | MixtralForCausalLM |
| License | cc-by-nc-4.0 |
| Context Length | 200000 |
| Model Max Length | 200000 |
| Transformers Version | 4.37.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <s> |
| Vocabulary Size | 64000 |
| Torch Data Type | float16 |
Best Alternatives to Mixtral 34Bx2 MoE 60B AWQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| FusionNet 34Bx2 MoE AWQ | 32K / 32.8 GB | 8 | 5 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Mixtral_34Bx2_MoE_60B-AWQ .
Rank the Mixtral 34Bx2 MoE 60B AWQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227