Stockmark 13B by stockmark

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  Autotrain compatible   Endpoints compatible   Ja   Japanese   Llama   Llama2   Powered by aws trainium   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF ๐Ÿค—: https://huggingface.co/stockmark/stockmark-13b 

Stockmark 13B Benchmarks

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

Stockmark 13B Parameters and Internals

Model Type 
text-generation
Supported Languages 
Japanese (native)
Training Details 
Data Sources:
Stockmark Web Corpus, Patent, Wikipedia, CC100, mC4, CommonCrawl
Data Volume:
220 billion tokens
Hardware Used:
AWS Trainium
Input Output 
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Use 8 bit model loading for T4 or V100 GPUs.
LLM NameStockmark 13B
Repository ๐Ÿค—https://huggingface.co/stockmark/stockmark-13b 
Model Size13b
Required VRAM26.5 GB
Updated2025-02-22
Maintainerstockmark
Model Typellama
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   6.7 GB: 3-of-3
Supported Languagesja
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length2048
Model Max Length2048
Transformers Version4.34.1
Tokenizer ClassLlamaTokenizerFast
Padding Token<pad>
Vocabulary Size50000
Torch Data Typebfloat16

Quantized Models of the Stockmark 13B

Model
Likes
Downloads
VRAM
Stockmark 13B GGUF22645 GB
Stockmark 13B AWQ2847 GB
Stockmark 13B GPTQ3347 GB

Best Alternatives to Stockmark 13B

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Context / RAM
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Likes
Yarn Llama 2 13B 128K128K / 26 GB4968113
Luminaura RP 13B128K / 26 GB270
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Chat Llama2 13B 80K80K / 52.8 GB130
Yarn Llama 2 13B 64K64K / 26 GB719017
LongAlign 13B 64K64K / 26 GB3113
LongAlign 13B 64K Base64K / 26 GB263
Openbuddy Llama2 13B V15p1 64K64K / 26.1 GB134
Openbuddy Llama2 13b64k V1564K / 26.1 GB161
Airoboros L2 13B 2.1 YaRN 64K64K / 26 GB137
Note: green Score (e.g. "73.2") means that the model is better than stockmark/stockmark-13b.

Rank the Stockmark 13B Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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 v20241227