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Mixtral 7Bx2 MoE by cloudyu

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  Autotrain compatible   Endpoints compatible   Mixtral   Model-index   Moe   Region:us   Safetensors   Sharded   Tensorflow

Mixtral 7Bx2 MoE Benchmarks

ARC: 71.25 vs 96.7 (so35)-26.3%
HellaSwag: 87.45 vs 95.3 (gpt4)-8.2%
MMLU: 64.98 vs 88.3 (so35)-26.4%
TruthfulQA: 67.23 vs 59 (gpt4)13.9%
WinoGrande: 81.22 vs 87.5 (gpt4)-7.2%
GSM8K: 68.46 vs 96.4 (so35)-29%
LLME Score: 0.211
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Mixtral 7Bx2 MoE Parameters and Internals

LLM NameMixtral 7Bx2 MoE
Repository 🤗https://huggingface.co/cloudyu/Mixtral_7Bx2_MoE 
Model Size12.9b
Required VRAM25.8 GB
Updated2024-09-07
Maintainercloudyu
Model Typemixtral
Model Files  9.9 GB: 1-of-3   10.0 GB: 2-of-3   5.9 GB: 3-of-3
Model ArchitectureMixtralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typebfloat16
Mixtral 7Bx2 MoE (cloudyu/Mixtral_7Bx2_MoE)

Quantized Models of the Mixtral 7Bx2 MoE

Model
Likes
Downloads
VRAM
Mixtral 7Bx2 MoE GGUF21644 GB
Mixtral 7Bx2 MoE GGUF236944 GB
Mixtral 7Bx2 MoE AWQ2577 GB
Mixtral 7Bx2 MoE GPTQ8227 GB

Best Alternatives to Mixtral 7Bx2 MoE

Best Alternatives
Context / RAM
Downloads
Likes
MixTAO 7Bx2 MoE V8.132K / 25.8 GB887352
LogoS 7Bx2 MoE 13B V0.232K / 25.9 GB450910
MultiMash11 13B Slerp32K / 25.7 GB300
MultiMash8 13B Slerp32K / 25.7 GB160
MultiMash9 13B Slerp32K / 25.7 GB190
MultiMash10 13B Slerp32K / 25.7 GB150
MixTaoTruthful 13B Slerp32K / 25.7 GB140
Multimash3 12B Slerp32K / 25.7 GB130
MultiMash 12B Slerp32K / 25.7 GB240
MultiMash7 12B Slerp32K / 25.7 GB260
Note: green Score (e.g. "73.2") means that the model is better than cloudyu/Mixtral_7Bx2_MoE.

Rank the Mixtral 7Bx2 MoE Capabilities

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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