HamSter 0.1 AWQ by TheBloke

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HamSter 0.1 AWQ is an open-source language model by TheBloke. Features: 7.2b LLM, VRAM: 4.2GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.11.

  4-bit   Awq Base model:potatooff/hamster-0... Base model:quantized:potatooff...   Conversational   En   Mistral   Quantized   Region:us   Safetensors

HamSter 0.1 AWQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

HamSter 0.1 AWQ Parameters and Internals

Model Type 
mistral
Input Output 
Input Format:
[INST] {prompt} [/INST]
Performance Tips:
For good performance, use a detailed character card.
LLM NameHamSter 0.1 AWQ
Repository 🤗https://huggingface.co/TheBloke/HamSter-0.1-AWQ 
Model NameHamster 0.1
Model CreatorChristian
Base Model(s)  PotatoOff/HamSter-0.1   PotatoOff/HamSter-0.1
Model Size7.2b
Required VRAM4.2 GB
Updated2026-05-21
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
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 TheBloke/HamSter-0.1-AWQ.

Rank the HamSter 0.1 AWQ Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Release v20260328a