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S1k by TianshengHuang

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S1k is an open-source language model by TianshengHuang. Features: 32b LLM, VRAM: 65.8GB, Context: 32K, LLM Explorer Score: 0.18.

  Arxiv:1910.09700   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/TianshengHuang/s1k 

S1k Benchmarks

LLME Score: 0.1771
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
S1k (TianshengHuang/s1k)
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S1k Parameters and Internals

LLM NameS1k
Repository 🤗https://huggingface.co/TianshengHuang/s1k 
Model Size32b
Required VRAM65.8 GB
Updated2026-05-18
MaintainerTianshengHuang
Model Typeqwen2
Model Files  4.9 GB: 1-of-14   4.9 GB: 2-of-14   4.9 GB: 3-of-14   4.9 GB: 4-of-14   4.9 GB: 5-of-14   4.9 GB: 6-of-14   4.9 GB: 7-of-14   4.9 GB: 8-of-14   4.9 GB: 9-of-14   4.9 GB: 10-of-14   4.9 GB: 11-of-14   4.9 GB: 12-of-14   4.9 GB: 13-of-14   2.1 GB: 14-of-14
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.46.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to S1k

Best Alternatives
Context / RAM
Downloads
Likes
Openbuddy Qwq 32B V24.1 200K195K / 65.8 GB153
Openbuddy Qwq 32B V24.2 200K195K / 65.8 GB93
Openbuddy Qwq 32B V25.2q 200K195K / 65.8 GB24
...y Qwen2.5coder 32B V24.1q 200K195K / 65.8 GB12
DeepSeek R1 Distill Qwen 32B128K / 65.7 GB6703311561
Qwen2.5 32B128K / 65.5 GB162819175
RomboUltima 32B128K / 20.7 GB256
...wen2.5 32B Inst BaseMerge TIES128K / 65.8 GB6417
Ultiima 32B128K / 65.8 GB187
...wen2.5 32B Inst BaseMerge TIES128K / 65.8 GB344
Note: green Score (e.g. "73.2") means that the model is better than TianshengHuang/s1k.

Rank the S1k Capabilities

🆘 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! 🌟

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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