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

By TheBloke · 8 downloads
HF Repo ↗ Copy URL

Mixtral 8x7B Instruct V0.1 LimaRP ZLoss AWQ is an open-source language model by TheBloke. Features: 46.7b LLM, VRAM: 24.7GB, Context: 32K, License: apache-2.0, MoE, Quantized, Instruction-Based, LLM Explorer Score: 0.1.

  4-bit   Awq Base model:ds-archive/mixtral-... Base model:quantized:ds-archiv...   Conversational   Dataset:lemonilia/limarp   En   Instruct   Mixtral   Moe   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/TheBloke/Mixtral-8x7B-Instruct-v0.1-LimaRP-ZLoss-AWQ 

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

Model Type 
mixtral
Use Cases 
Areas:
roleplaying
Applications:
roleplaying chat
Primary Use Cases:
roleplaying chat interactions
Limitations:
known biases from niche roleplaying forums
Considerations:
Not intended for factual information or advice.
Additional Notes 
The model shows similar biases to niche roleplaying forums. It may repeat or exhibit high confidence with repeated interactions.
Supported Languages 
en (proficient)
Input Output 
Input Format:
Instruction-Input-Response
Accepted Modalities:
text
LLM NameMixtral 8x7B Instruct V0.1 LimaRP ZLoss AWQ
Repository 🤗https://huggingface.co/TheBloke/Mixtral-8x7B-Instruct-v0.1-LimaRP-ZLoss-AWQ 
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 VRAM24.7 GB
Updated2026-08-08
MaintainerTheBloke
Model Typemixtral
Instruction-BasedYes
Model Files  10.0 GB: 1-of-3   10.0 GB: 2-of-3   4.7 GB: 3-of-3
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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