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HamSter 0.2 8.0bpw H8 EXL2 by LoneStriker

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HamSter 0.2 8.0bpw H8 EXL2 is an open-source language model by LoneStriker. Features: LLM, VRAM: 7.4GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.11.

  Conversational   En   Endpoints compatible   Exl2   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/LoneStriker/HamSter-0.2-8.0bpw-h8-exl2 

HamSter 0.2 8.0bpw H8 EXL2 Benchmarks

LLME Score: 0.1109
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
HamSter 0.2 8.0bpw H8 EXL2 (LoneStriker/HamSter-0.2-8.0bpw-h8-exl2)
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HamSter 0.2 8.0bpw H8 EXL2 Parameters and Internals

Model Type 
fine-tuned, roleplay
Additional Notes 
Fine-tuned with a newer dataset; next version planned to be better
Supported Languages 
en (fluent)
Input Output 
Input Format:
Mistral prompt template with chat-instruct
Accepted Modalities:
text
Performance Tips:
Use a detailed character card for better performance
LLM NameHamSter 0.2 8.0bpw H8 EXL2
Repository 🤗https://huggingface.co/LoneStriker/HamSter-0.2-8.0bpw-h8-exl2 
Required VRAM7.4 GB
Updated2026-05-17
MaintainerLoneStriker
Model Typemistral
Model Files  7.4 GB
Supported Languagesen
Quantization Typeexl2
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/HamSter-0.2-8.0bpw-h8-exl2.

Rank the HamSter 0.2 8.0bpw H8 EXL2 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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