Stockmark 100B 4bit by mlx-community

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  4bit   Autotrain compatible   En   Endpoints compatible   Ja   Llama   Mlx   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Stockmark 100B 4bit Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Stockmark 100B 4bit (mlx-community/stockmark-100b-4bit)

Stockmark 100B 4bit Parameters and Internals

Model Type 
text generation
Additional Notes 
This model was converted to MLX format.
Supported Languages 
en (proficient), ja (proficient)
LLM NameStockmark 100B 4bit
Repository ๐Ÿค—https://huggingface.co/mlx-community/stockmark-100b-4bit 
Model Size100b
Required VRAM54.2 GB
Updated2025-02-22
Maintainermlx-community
Model Typellama
Model Files  5.3 GB: 1-of-11   5.4 GB: 2-of-11   5.3 GB: 3-of-11   5.3 GB: 4-of-11   5.3 GB: 5-of-11   5.4 GB: 6-of-11   5.3 GB: 7-of-11   5.3 GB: 8-of-11   5.3 GB: 9-of-11   5.4 GB: 10-of-11   0.9 GB: 11-of-11
Supported Languagesja en
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length4096
Model Max Length4096
Transformers Version4.40.1
Tokenizer ClassLlamaTokenizer
Padding Token<pad>
Vocabulary Size60416
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than mlx-community/stockmark-100b-4bit.

Rank the Stockmark 100B 4bit 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 v20241227