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

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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: 0.11.

  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
Model Card on HF 🤗: https://huggingface.co/TheBloke/Mixtral-8x7B-Instruct-v0.1-LimaRP-ZLoss-GPTQ 

Mixtral 8x7B Instruct V0.1 LimaRP ZLoss GPTQ Benchmarks

LLME Score: 0.1114
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 GPTQ (TheBloke/Mixtral-8x7B-Instruct-v0.1-LimaRP-ZLoss-GPTQ)
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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 🤗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
Updated2026-04-04
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

Best Alternatives to Mixtral 8x7B Instruct V0.1 LimaRP ZLoss GPTQ

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...ixtral 8x7B Instruct V0.1 GPTQ32K / 23.8 GB1452141
Dolphin 2.5 Mixtral 8x7b GPTQ32K / 23.8 GB44112
...xtral Instruct 8x7b Zloss GPTQ32K / 23.8 GB272
....1 LimaRP ZLoss DARE TIES GPTQ32K / 23.8 GB46
... Mixtral 8x7b Instruct V3 GPTQ32K / 23.8 GB182
...tLM Mixtral 8x7B Instruct GPTQ32K / 23.8 GB143
...ixtral 8x7B V0.1 Dolly15K GPTQ32K / 23.8 GB102
Dolphin 2.6 Mixtral 8x7b GPTQ32K / 23.8 GB166
Mixtral 8x7B Instruct V0.132K / 93.6 GB6362164670
Mixtral 8x7B Instruct V0.1 FP832K / 47.1 GB48450
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Mixtral-8x7B-Instruct-v0.1-LimaRP-ZLoss-GPTQ.

Rank the Mixtral 8x7B Instruct V0.1 LimaRP ZLoss GPTQ 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  

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