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

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  4-bit   Autotrain compatible Base model:doctor-shotgun/mixt... Base model:quantized:doctor-sh...   Conversational   Dataset:lemonilia/limarp   En   Gptq   Instruct   Mixtral   Moe   Quantized   Region:us   Safetensors

Mixtral 8x7B Instruct V0.1 LimaRP ZLoss 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 GPTQ (TheBloke/Mixtral-8x7B-Instruct-v0.1-LimaRP-ZLoss-GPTQ)

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 ๐Ÿค—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 Size6.1b
Required VRAM23.8 GB
Updated2025-02-05
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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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Mixtral-8x7B-Instruct-v0.1-LimaRP-ZLoss-GPTQ.

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