ShiningValiant 1.2 AWQ by TheBloke

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  4-bit   70b   Autotrain compatible   Awq Base model:quantized:valiantla... Base model:valiantlabs/llama2-...   En   Llama   Llama-2-chat   Llama2   Quantized   Region:us   Safetensors   Sharded   Shining-valiant   Tensorflow   Valiant   Valiant-labs

ShiningValiant 1.2 AWQ Benchmarks

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 AWQ (TheBloke/ShiningValiant-1.2-AWQ)
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ShiningValiant 1.2 AWQ Parameters and Internals

Model Type 
llama, text-generation
Use Cases 
Areas:
text generation, conversation
Applications:
creative writing, assistance, insightful and enthusiastic information responses
Primary Use Cases:
chatting, generating content based on user prompts
Limitations:
May not handle all queries effectively, being a general-purpose assistant
Additional Notes 
Shining Valiant is built on top of Stellar Bright using Llama 2's architecture.
Supported Languages 
en (fluent)
Training Details 
Data Sources:
private datasets, public open source data
Methodology:
Finetuned on llama-2-70b architecture
Model Architecture:
Llama 2's 70B parameter architecture
Input Output 
Input Format:
[INST] <> {prompt} [/INST]
Accepted Modalities:
text
Output Format:
text
Release Notes 
Version:
1.2
Notes:
Current version is the latest release for general public use.
LLM NameShiningValiant 1.2 AWQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/ShiningValiant-1.2-AWQ 
Model NameShiningValiant 1.2
Model CreatorValiant Labs
Base Model(s)  ShiningValiant   ValiantLabs/ShiningValiant
Model Size70b
Required VRAM36.6 GB
Updated2025-09-20
MaintainerTheBloke
Model Typellama
Model Files  9.9 GB: 1-of-4   9.9 GB: 2-of-4   9.9 GB: 3-of-4   6.9 GB: 4-of-4
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
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-AWQ.

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