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Stockmark 13B GPTQ by TheBloke

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  4-bit   Autotrain compatible Base model:quantized:stockmark... Base model:stockmark/stockmark...   Gptq   Ja   Japanese   Llama   Llama2   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/stockmark-13B-GPTQ 

Stockmark 13B GPTQ Benchmarks

LLME Score: 0.14033
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Stockmark 13B GPTQ (TheBloke/stockmark-13B-GPTQ)

Stockmark 13B GPTQ Parameters and Internals

Model Type 
llama
Additional Notes 
This model is supported by the AWS LLM development support program.
Supported Languages 
Japanese (High proficiency)
Training Details 
Data Sources:
Stockmark Web Corpus, Patent, Wikipedia, CC100, mC4, CommonCrawl
Data Volume:
220 billion tokens
Hardware Used:
AWS Trainium
Model Architecture:
LLM
Input Output 
Input Format:
\{prompt\}
Accepted Modalities:
text
Output Format:
text
LLM NameStockmark 13B GPTQ
Repository 🤗https://huggingface.co/TheBloke/stockmark-13B-GPTQ 
Model NameStockmark 13B
Model CreatorStockmark Inc.
Base Model(s)  Stockmark 13B   stockmark/stockmark-13b
Model Size13b
Required VRAM7.6 GB
Updated2025-02-22
MaintainerTheBloke
Model Typellama
Model Files  7.6 GB
Supported Languagesja
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length2048
Model Max Length2048
Transformers Version4.34.1
Tokenizer ClassLlamaTokenizerFast
Padding Token<pad>
Vocabulary Size50000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/stockmark-13B-GPTQ.

Rank the Stockmark 13B GPTQ 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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