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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: 0.1513
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Valkyrie V1 Parameters and Internals

LLM NameValkyrie V1
Repository 🤗https://huggingface.co/cookinai/Valkyrie-V1 
Model Size7.2b
Required VRAM14.4 GB
Updated2025-06-09
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
Valkyrie V1 (cookinai/Valkyrie-V1)

Quantized Models of the Valkyrie V1

Model
Likes
Downloads
VRAM
Valkyrie V1 GGUF1463 GB
Valkyrie V1 AWQ1334 GB
Valkyrie V1 GPTQ0104 GB

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SpydazWeb HumanAI M2512K /  GB380
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SpydazWeb AI HumanAI 010 CHAT512K / 14.4 GB70
Note: green Score (e.g. "73.2") means that the model is better than cookinai/Valkyrie-V1.

Rank the Valkyrie V1 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 v20241124
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