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Metis 0.5 GPTQ by TheBloke

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  4-bit   Autotrain compatible   Base model:mihaiii/metis-0.5 Base model:quantized:mihaiii/m...   Custom code   Gptq   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/Metis-0.5-GPTQ 

Metis 0.5 GPTQ Benchmarks

LLME Score: 0.15418
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Metis 0.5 GPTQ (TheBloke/Metis-0.5-GPTQ)

Metis 0.5 GPTQ Parameters and Internals

Model Type 
mistral
Additional Notes 
An instruct based fine tune of [migtissera/Tess-XS-v1-3-yarn-128K](https://huggingface.co/migtissera/Tess-XS-v1-3-yarn-128K). It works well with long system prompts. It isn't generic in a sense that it shouldn't be used for story telling, for example, but only for reasoning and text comprehension.
Input Output 
Input Format:
SYSTEM: {system_message} USER: {prompt} ASSISTANT:
LLM NameMetis 0.5 GPTQ
Repository 🤗https://huggingface.co/TheBloke/Metis-0.5-GPTQ 
Model NameMetis 0.5
Model CreatorMihai
Base Model(s)  Mihaiii/Metis-0.5   Mihaiii/Metis-0.5
Model Size1.2b
Required VRAM4.2 GB
Updated2025-02-22
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Metis-0.5-GPTQ.

Rank the Metis 0.5 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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