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Fimbulvetr 11B V2 AWQ by LoneStriker

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Model Card on HF 🤗: https://huggingface.co/LoneStriker/Fimbulvetr-11B-v2-AWQ 

Fimbulvetr 11B V2 AWQ Benchmarks

ARC: 70.14 vs 96.7 (so35)-27.5%
HellaSwag: 87.77 vs 95.3 (gpt4)-7.9%
MMLU: 66.68 vs 88.3 (so35)-24.5%
TruthfulQA: 63.42 vs 59 (gpt4)7.5%
WinoGrande: 82.72 vs 87.5 (gpt4)-5.5%
GSM8K: 63.68 vs 96.4 (so35)-33.9%
LLME Score: 0.15608
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 (LoneStriker/Fimbulvetr-11B-v2-AWQ)
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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
Updated2025-07-01
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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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