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Fimbulvetr 11B V2 by Sao10K

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  Autotrain compatible   En   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Sao10K/Fimbulvetr-11B-v2 

Fimbulvetr 11B V2 Benchmarks

MMLU Pro: 25.57
GPQA: 5.59
MUSR: 14.92
BBH: 22.66
IFEval: 51 vs 88 (so35)-42%
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%
MATH Lvl 5: 0.68
LLME Score: 0.25757
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 (Sao10K/Fimbulvetr-11B-v2)

Fimbulvetr 11B V2 Parameters and Internals

Model Type 
text generation
Additional Notes 
Model is based on solar-themed technology. Development on v3 halted for dataset quality improvements.
Supported Languages 
en (fully supported)
Input Output 
Input Format:
Prompt Formats - Alpaca or Vicuna
Accepted Modalities:
text
Output Format:
Response
Performance Tips:
Recommended SillyTavern Presets - Universal Light Alpaca
Release Notes 
Version:
official release
Date:
2023-02-25
Notes:
repo renamed, model card redone.
Version:
heavy testing complete
Date:
2023-02-15
Notes:
Model received good feedback.
LLM NameFimbulvetr 11B V2
Repository 🤗https://huggingface.co/Sao10K/Fimbulvetr-11B-v2 
Model Size11b
Required VRAM21.4 GB
Updated2025-02-13
MaintainerSao10K
Model Typellama
Model Files  4.9 GB: 1-of-5   5.0 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   1.7 GB: 5-of-5
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-4.0
Context Length4096
Model Max Length4096
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

Quantized Models of the Fimbulvetr 11B V2

Model
Likes
Downloads
VRAM
Fimbulvetr 11B V2 AWQ150116 GB
Fimbulvetr 11B V2 Q5 K S GGUF0647 GB
Fimbulvetr 11B V2 GPTQ62796 GB

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Rank the Fimbulvetr 11B V2 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 v20241227
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