Chupacabra 8x7B MoE by perlthoughts

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  Autotrain compatible   Endpoints compatible   License:apache-2.0   Mixtral   Model-index   Moe   Region:us   Safetensors   Sharded   Tensorflow

Chupacabra 8x7B MoE Benchmarks

Chupacabra 8x7B MoE (perlthoughts/Chupacabra-8x7B-MoE)
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Chupacabra 8x7B MoE Parameters and Internals

LLM NameChupacabra 8x7B MoE
Repository ๐Ÿค—https://huggingface.co/perlthoughts/Chupacabra-8x7B-MoE 
Model Size46.7b
Required VRAM93.5 GB
Updated2024-07-15
Maintainerperlthoughts
Model Typemixtral
Model Files  9.9 GB: 1-of-10   10.0 GB: 2-of-10   10.0 GB: 3-of-10   10.0 GB: 4-of-10   10.0 GB: 5-of-10   10.0 GB: 6-of-10   10.0 GB: 7-of-10   10.0 GB: 8-of-10   10.0 GB: 9-of-10   3.6 GB: 10-of-10
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typefloat16

Quantized Models of the Chupacabra 8x7B MoE

Model
Likes
Downloads
VRAM
Chupacabra 8x7B MoE GGUF33615 GB
Chupacabra 8x7B MoE GPTQ1623 GB

Best Alternatives to Chupacabra 8x7B MoE

Best Alternatives
Context / RAM
Downloads
Likes
Mixtral 8x7B Instruct V0.132K / 93.6 GB2839204550
Nous Hermes 2 Mixtral 8x7B DPO32K / 93.6 GB11575449
Mixtral 8x7B V0.132K / 93.6 GB549281751
GritLM 8x7B KTO32K / 93.6 GB96633
Sensualize Mixtral Bf1632K / 93.6 GB00
Skadi Mixtral V132K / 93.5 GB00
Franziska Mixtral V132K / 93.5 GB00
Typhon Mixtral V132K / 93.4 GB00
Smaug Mixtral V0.132K / 187.7 GB964312
NatureLM 8x7B32K / 0.3 GB10215
Note: green Score (e.g. "73.2") means that the model is better than perlthoughts/Chupacabra-8x7B-MoE.

Rank the Chupacabra 8x7B MoE Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124