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ShiningValiant 1.2 GPTQ by TheBloke

 »  All LLMs  »  TheBloke  »  ShiningValiant 1.2 GPTQ   URL Share it on

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  4-bit   70b   Autotrain compatible Base model:quantized:valiantla... Base model:valiantlabs/llama2-...   En   Gptq   Llama   Llama-2-chat   Llama2   Quantized   Region:us   Safetensors   Shining-valiant   Valiant   Valiant-labs
Model Card on HF 🤗: https://huggingface.co/TheBloke/ShiningValiant-1.2-GPTQ 

ShiningValiant 1.2 GPTQ Benchmarks

LLME Score: 0.1141
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ShiningValiant 1.2 GPTQ (TheBloke/ShiningValiant-1.2-GPTQ)
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ShiningValiant 1.2 GPTQ Parameters and Internals

Model Type 
text-generation
Additional Notes 
The model is finetuned for insight, creativity, passion, and friendliness. It uses the Llama-2-70b-chat model with safetensors.
Supported Languages 
en (High Proficiency)
Training Details 
Data Sources:
private and public data
Methodology:
Finetuned on multiple runs across private and public data
Model Architecture:
Llama 2 architecture
Input Output 
Input Format:
Prompt format similar to Llama 2 Chat
Accepted Modalities:
text
Output Format:
text
Release Notes 
Version:
1.2
Notes:
New release.
LLM NameShiningValiant 1.2 GPTQ
Repository 🤗https://huggingface.co/TheBloke/ShiningValiant-1.2-GPTQ 
Model NameShiningValiant 1.2
Model CreatorValiant Labs
Base Model(s)  ShiningValiant   ValiantLabs/ShiningValiant
Model Size70b
Required VRAM35.3 GB
Updated2025-09-20
MaintainerTheBloke
Model Typellama
Model Files  35.3 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.34.0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/ShiningValiant-1.2-GPTQ.

Rank the ShiningValiant 1.2 GPTQ 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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