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Valkyrie V1 by cookinai

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  Autotrain compatible   Endpoints compatible   Merge   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/cookinai/Valkyrie-V1 

Valkyrie V1 Benchmarks

ARC: 67.24 vs 96.7 (so35)-30.5%
HellaSwag: 86.27 vs 95.3 (gpt4)-9.5%
MMLU: 64.82 vs 88.3 (so35)-26.6%
TruthfulQA: 60.4 vs 59 (gpt4)2.4%
WinoGrande: 81.45 vs 87.5 (gpt4)-6.9%
GSM8K: 71.34 vs 96.4 (so35)-26%
LLME Score: 0.16032
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Valkyrie V1 (cookinai/Valkyrie-V1)

Valkyrie V1 Parameters and Internals

LLM NameValkyrie V1
Repository 🤗https://huggingface.co/cookinai/Valkyrie-V1 
Model Size7.2b
Required VRAM14.4 GB
Updated2025-04-26
Maintainercookinai
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the Valkyrie V1

Model
Likes
Downloads
VRAM
Valkyrie V1 GGUF13653 GB
Valkyrie V1 AWQ124 GB
Valkyrie V1 GPTQ054 GB

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Note: green Score (e.g. "73.2") means that the model is better than cookinai/Valkyrie-V1.

Rank the Valkyrie V1 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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