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

By TheBloke · 5 downloads

Mixtral 8x7B Instruct V0.1 LimaRP ZLoss DARE TIES GPTQ is an open-source language model by TheBloke. Features: 46.7b LLM, VRAM: 23.8GB, Context: 32K, MoE, Quantized, Instruction-Based, LLM Explorer Score: 0.1.

  Arxiv:2306.01708   Arxiv:2311.03099   4-bit Base model:ds-archive/mixtral-... Base model:quantized:ds-archiv...   Gptq   Instruct   Merge   Mergekit   Mixtral   Moe   Quantized   Region:us   Safetensors

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 πŸ€—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 Size46.7b
Required VRAM23.8 GB
Updated2026-07-27
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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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Mixtral-8x7B-Instruct-v0.1-LimaRP-ZLoss-DARE-TIES-GPTQ.