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ShiningValiant by ValiantLabs

 »  All LLMs  »  ValiantLabs  »  ShiningValiant   URL Share it on

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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

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  
ShiningValiant (ValiantLabs/ShiningValiant)

Quantized Models of the ShiningValiant

Model
Likes
Downloads
VRAM
ShiningValiant 1.2 GGUF941929 GB
ShiningValiant 1.3 GGUF432229 GB
ShiningValiant 1.2 GPTQ2235 GB
ShiningValiant 1.3 AWQ01661736 GB

Best Alternatives to ShiningValiant

Best Alternatives
HF Rank
Context/RAM
Downloads
Likes
XuanYuan 70B79.558K / 138.3 GB131344
Tigerbot 70B Chat V277.924K / 139.2 GB68348
Tigerbot 70B Chat V675.958K / 139.8 GB171
Tigerbot 70B Base V173.92K / 139.1 GB198515
Tigerbot 70B Chat V2 GPTQ68.32K / 36.3 GB25
Tigerbot 70B Chat V2 AWQ68.32K / 37.6 GB3402
StableBeluga2 70B GPTQ67.94K / 35.3 GB591
StableBeluga2 70B AWQ67.94K / 36.6 GB512
... 3 70B Instruct Gradient 1048K—1024K / 141.9 GB85083
...a 3 70B Instruct Gradient 524K—512K / 141.9 GB108419
Note: green Score (e.g. "73.2") means that the model is better than ValiantLabs/ShiningValiant.

ShiningValiant Parameters and Internals

LLM NameShiningValiant
RepositoryOpen on 🤗 
Model Size70b
Required VRAM212 GB
Updated2024-05-14
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
Initializer Range0.02
Torch Data Typefloat32

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Release v2024042801
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