Go Bruins V2.1.1 AWQ by TheBloke

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Go Bruins V2.1.1 AWQ is an open-source language model by TheBloke. Features: 1.2b LLM, VRAM: 4.2GB, Context: 32K, License: cc, Quantized, LLM Explorer Score: 0.11.

  4-bit   Autotrain compatible   Awq Base model:quantized:rwitz2/go... Base model:rwitz2/go-bruins-v2...   Mistral   Quantized   Region:us   Safetensors

Go Bruins V2.1.1 AWQ Benchmarks

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

Go Bruins V2.1.1 AWQ Parameters and Internals

Model Type 
mistral
Additional Notes 
The model Go Bruins v2.1.1 is quantized by TheBloke using the AWQ method, which supports 4-bit quantization for efficient use, particularly on NVidia GPUs.
LLM NameGo Bruins V2.1.1 AWQ
Repository 🤗https://huggingface.co/TheBloke/go-bruins-v2.1.1-AWQ 
Model NameGo Bruins v2.1.1
Model Creatorryan witzman
Base Model(s)  rwitz2/go-bruins-v2.1.1   rwitz2/go-bruins-v2.1.1
Model Size1.2b
Required VRAM4.2 GB
Updated2025-10-19
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Licensecc
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
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/go-bruins-v2.1.1-AWQ.

Rank the Go Bruins V2.1.1 AWQ 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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Release v20260328a