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

By TheBloke · 9 downloads

Mixtral 8x7B Instruct V0.1 LimaRP ZLoss GPTQ is an open-source language model by TheBloke. Features: 46.7b LLM, VRAM: 23.8GB, Context: 32K, License: apache-2.0, MoE, Quantized, Instruction-Based, LLM Explorer Score: 0.1.

  4-bit Base model:ds-archive/mixtral-... Base model:quantized:ds-archiv...   Conversational   Dataset:lemonilia/limarp   En   Gptq   Instruct   Mixtral   Moe   Quantized   Region:us   Safetensors

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

Model Type 
mixtral
Use Cases 
Limitations:
Not intended for supplying factual information or advice.
Additional Notes 
Model is experimental and based on a merged training process.
Supported Languages 
en (proficient)
Training Details 
Context Length:
10000
Input Output 
Input Format:
### Instruction: {system_message} ### Input: {prompt} ### Response:
LLM NameMixtral 8x7B Instruct V0.1 LimaRP ZLoss GPTQ
Repository πŸ€—https://huggingface.co/TheBloke/Mixtral-8x7B-Instruct-v0.1-LimaRP-ZLoss-GPTQ 
Model NameMixtral 8X7B Instruct v0.1 LimaRP ZLoss
Model CreatorDoctor Shotgun
Base Model(s)  Doctor-Shotgun/Mixtral-8x7B-Instruct-v0.1-LimaRP-ZLoss   Doctor-Shotgun/Mixtral-8x7B-Instruct-v0.1-LimaRP-ZLoss
Model Size46.7b
Required VRAM23.8 GB
Updated2026-07-11
MaintainerTheBloke
Model Typemixtral
Instruction-BasedYes
Model Files  23.8 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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