Fimbulvetr 11B V2 AWQ by LoneStriker

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Fimbulvetr 11B V2 AWQ is an open-source language model by LoneStriker. Features: 11b LLM, VRAM: 6GB, Context: 4K, License: cc-by-nc-4.0, Quantized, LLM Explorer Score: 0.12, Arc: 70.1, HellaSwag: 87.8, MMLU: 66.7, GSM8K: 63.7.

  4-bit   Awq   En   Endpoints compatible   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Fimbulvetr 11B V2 AWQ Benchmarks

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

Fimbulvetr 11B V2 AWQ Parameters and Internals

Additional Notes 
This description contains informal context about personal musings and challenges from the developer.
Supported Languages 
en (unknown)
Input Output 
Input Format:
Alpaca or Vicuna
Release Notes 
Version:
15/2
Notes:
Suitable for Release. Model focused on the submission for the Chai app. Scaling results to Yi/Mixtral soon.
LLM NameFimbulvetr 11B V2 AWQ
Repository 🤗https://huggingface.co/LoneStriker/Fimbulvetr-11B-v2-AWQ 
Base Model(s)  Fimbulvetr 11B V2   Sao10K/Fimbulvetr-11B-v2
Model Size11b
Required VRAM6 GB
Updated2026-07-07
MaintainerLoneStriker
Model Typellama
Model Files  5.0 GB: 1-of-2   1.0 GB: 2-of-2
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-4.0
Context Length4096
Model Max Length4096
Transformers Version4.37.1
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/Fimbulvetr-11B-v2-AWQ.

Rank the Fimbulvetr 11B V2 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