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STOCK SOLAR 10.7B AWQ by VincentChoi00

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STOCK SOLAR 10.7B AWQ is an open-source language model by VincentChoi00. Features: 10.7b LLM, VRAM: 6GB, Context: 4K, License: apache-2.0, Quantized, LLM Explorer Score: 0.14.

  4-bit   Autotrain compatible   Awq   Endpoints compatible   Ko   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/VincentChoi00/STOCK_SOLAR-10.7B-AWQ 

STOCK SOLAR 10.7B AWQ Benchmarks

LLME Score: 0.14171
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
STOCK SOLAR 10.7B AWQ (VincentChoi00/STOCK_SOLAR-10.7B-AWQ)
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STOCK SOLAR 10.7B AWQ Parameters and Internals

Model Type 
text-generation
Supported Languages 
ko (Advanced)
LLM NameSTOCK SOLAR 10.7B AWQ
Repository 🤗https://huggingface.co/VincentChoi00/STOCK_SOLAR-10.7B-AWQ 
Base Model(s)  kihoonlee/STOCK_SOLAR-10.7B   kihoonlee/STOCK_SOLAR-10.7B
Model Size10.7b
Required VRAM6 GB
Updated2025-09-23
MaintainerVincentChoi00
Model Typellama
Model Files  5.0 GB: 1-of-2   1.0 GB: 2-of-2
Supported Languagesko
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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Rank the STOCK SOLAR 10.7B 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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