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Stockmark 13B AWQ by TheBloke

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

Stockmark 13B AWQ Benchmarks

LLME Score: 0.1415
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Stockmark 13B AWQ (TheBloke/stockmark-13B-AWQ)

Stockmark 13B AWQ Parameters and Internals

Model Type 
text-generation
Additional Notes 
Support provided by AWS LLM development support program.
Supported Languages 
Japanese (Fluent)
Training Details 
Data Sources:
Stockmark Web Corpus, Patent, Wikipedia, CC100, mC4, CommonCrawl
Data Volume:
220 billion tokens
Methodology:
Pretrained from scratch
Hardware Used:
AWS Trainium
Model Architecture:
Based on Japanese corpus
Input Output 
Input Format:
Japanese prompts
Accepted Modalities:
text
Output Format:
Generated text
LLM NameStockmark 13B AWQ
Repository 🤗https://huggingface.co/TheBloke/stockmark-13B-AWQ 
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
AWQ QuantizationYes
Quantization Typeawq
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-AWQ.

Rank the Stockmark 13B 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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