Mixtral 8x7B Instruct V0.1 by dfurman

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  Arxiv:2310.06825   Adapter Base model:mistralai/mixtral-8...   Conversational Dataset:garage-baind/open-plat... Dataset:jondurbin/airoboros-2....   Dataset:open-orca/slimorca   Finetuned   Instruct   License:apache-2.0   Lora   Mistral   Model-index   Moe   Peft   Region:us   Safetensors

Mixtral 8x7B Instruct V0.1 Benchmarks

nn.n% — How the model compares to the GPT-4.

Rank the Mixtral 8x7B Instruct V0.1 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  
Multi-Language Support and Translation  
Mixtral 8x7B Instruct V0.1 (dfurman/Mixtral-8x7B-Instruct-v0.1)

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Mixtral 8x7B Instruct V0.1 Parameters and Internals

LLM NameMixtral 8x7B Instruct V0.1
RepositoryOpen on ๐Ÿค— 
Base Model(s)  Mixtral 8x7B V0.1   mistralai/Mixtral-8x7B-v0.1
Required VRAM0.1 GB
Updated2024-06-24
Maintainerdfurman
Instruction-BasedYes
Model Files  0.1 GB
Model ArchitectureAdapter
Licenseapache-2.0
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Moduleso_proj|v_proj|k_proj|q_proj
LoRA Alpha16
LoRA Dropout0.1
R Param64

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024042801