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ShiningValiant by ValiantLabs

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  70b   Autotrain compatible   En   Endpoints compatible   License:llama2   Llama   Llama-2-chat   Llama2   Region:us   Safetensors   Sharded   Shining-valiant   Tensorflow   Valiant   Valiant-labs
Model Card on HF 🤗: https://huggingface.co/ValiantLabs/ShiningValiant 

ShiningValiant Benchmarks

ARC: 68.69 vs 96.7 (so35)-29%
HellaSwag: 87.31 vs 95.3 (gpt4)-8.4%
MMLU: 69.64 vs 88.3 (so35)-21.1%
TruthfulQA: 55.78 vs 59 (gpt4)-5.5%
WinoGrande: 84.14 vs 87.5 (gpt4)-3.8%
GSM8K: 56.48 vs 96.4 (so35)-41.4%
LLME Score: 0.13326
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ShiningValiant (ValiantLabs/ShiningValiant)
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ShiningValiant Parameters and Internals

Model Type 
text-generation, chat
Use Cases 
Areas:
Insight, Creativity, Passion, Friendliness
Additional Notes 
New models and architectures are being explored for enhanced capabilities.
Supported Languages 
en (proficient)
Training Details 
Data Sources:
private and public data
Methodology:
finetuning
Model Architecture:
llama-2-70b parameter architecture
Input Output 
Input Format:
Same prompt format as Llama 2 Chat.
Accepted Modalities:
text
Release Notes 
Version:
1.4
Notes:
Expanded personality dataset and fixed bugs for improved chat experience.
LLM NameShiningValiant
Repository 🤗https://huggingface.co/ValiantLabs/ShiningValiant 
Model Size70b
Required VRAM212 GB
Updated2024-07-23
MaintainerValiantLabs
Model Typellama
Model Files  4.8 GB: 1-of-61   4.6 GB: 2-of-61   4.4 GB: 3-of-61   5.0 GB: 4-of-61   4.4 GB: 5-of-61   4.4 GB: 6-of-61   5.0 GB: 7-of-61   4.4 GB: 8-of-61   4.4 GB: 9-of-61   5.0 GB: 10-of-61   4.4 GB: 11-of-61   4.4 GB: 12-of-61   5.0 GB: 13-of-61   4.4 GB: 14-of-61   4.4 GB: 15-of-61   5.0 GB: 16-of-61   4.4 GB: 17-of-61   4.4 GB: 18-of-61   5.0 GB: 19-of-61   4.4 GB: 20-of-61   4.4 GB: 21-of-61   5.0 GB: 22-of-61   4.4 GB: 23-of-61   4.4 GB: 24-of-61   5.0 GB: 25-of-61   4.4 GB: 26-of-61   4.4 GB: 27-of-61   5.0 GB: 28-of-61   4.4 GB: 29-of-61   4.4 GB: 30-of-61   5.0 GB: 31-of-61   4.4 GB: 32-of-61   4.4 GB: 33-of-61   5.0 GB: 34-of-61   4.4 GB: 35-of-61   4.4 GB: 36-of-61   5.0 GB: 37-of-61   4.4 GB: 38-of-61   4.4 GB: 39-of-61   5.0 GB: 40-of-61   4.4 GB: 41-of-61   4.4 GB: 42-of-61   5.0 GB: 43-of-61   4.4 GB: 44-of-61   4.4 GB: 45-of-61   5.0 GB: 46-of-61
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.36.2
Vocabulary Size32000
Torch Data Typefloat32

Quantized Models of the ShiningValiant

Model
Likes
Downloads
VRAM
ShiningValiant 1.3 GGUF420829 GB
ShiningValiant 1.3 AWQ0536 GB
ShiningValiant 1.2 GGUF921629 GB
ShiningValiant 1.2 GPTQ2635 GB
ShiningValiant 1.2 AWQ0636 GB

Best Alternatives to ShiningValiant

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Context / RAM
Downloads
Likes
... Chat 1048K Chinese Llama3 70B1024K / 141.9 GB97405
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Llama3 Function Calling 1048K1024K / 141.9 GB61
...a 3 70B Instruct Gradient 524K512K / 141.9 GB723
...a 3 70B Instruct Gradient 262K256K / 141.9 GB13256
...ama 3 70B Arimas Story RP V2.0256K / 141.1 GB283
...ama 3 70B Arimas Story RP V1.6256K / 141.2 GB130
...ama 3 70B Arimas Story RP V1.5256K / 141.2 GB463
Yi 70B 200K RPMerge Franken195K / 142.4 GB71
Note: green Score (e.g. "73.2") means that the model is better than ValiantLabs/ShiningValiant.

Rank the ShiningValiant 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 v20241124
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