Mixtral 8x7B Instruct V0.1 LimaRP ZLoss DARE TIES GPTQ by TheBloke

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  Arxiv:2306.01708   Arxiv:2311.03099   4-bit   Autotrain compatible Base model:doctor-shotgun/mixt... Base model:quantized:doctor-sh...   Gptq   Instruct   Merge   Mergekit   Mixtral   Moe   Quantized   Region:us   Safetensors

Mixtral 8x7B Instruct V0.1 LimaRP ZLoss DARE TIES GPTQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mixtral 8x7B Instruct V0.1 LimaRP ZLoss DARE TIES GPTQ (TheBloke/Mixtral-8x7B-Instruct-v0.1-LimaRP-ZLoss-DARE-TIES-GPTQ)

Mixtral 8x7B Instruct V0.1 LimaRP ZLoss DARE TIES GPTQ Parameters and Internals

Model Type 
mixtral
Training Details 
Methodology:
Model was merged using DARE TIES merge method.
Input Output 
Input Format:
{prompt}
LLM NameMixtral 8x7B Instruct V0.1 LimaRP ZLoss DARE TIES GPTQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/Mixtral-8x7B-Instruct-v0.1-LimaRP-ZLoss-DARE-TIES-GPTQ 
Model NameMixtral 8X7B Instruct V0.1 LimaRP ZLoss DARE TIES
Model CreatorDoctor Shotgun
Base Model(s)  Doctor-Shotgun/Mixtral-8x7B-Instruct-v0.1-LimaRP-ZLoss-DARE-TIES   Doctor-Shotgun/Mixtral-8x7B-Instruct-v0.1-LimaRP-ZLoss-DARE-TIES
Model Size6.1b
Required VRAM23.8 GB
Updated2025-02-05
MaintainerTheBloke
Model Typemixtral
Instruction-BasedYes
Model Files  23.8 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMixtralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227