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SJT 0.5B by Sakalti

 »  All LLMs  »  Sakalti  »  SJT 0.5B   URL Share it on

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  Merged Model   Arxiv:2306.01708   Autotrain compatible   Base model:qwen/qwen2.5-0.5b Base model:qwen/qwen2.5-0.5b-i...   Conversational   En   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Sakalti/SJT-0.5B 

SJT 0.5B Benchmarks

MMLU Pro: 9.9
GPQA: 2.91
MUSR: 0.78
BBH: 8.41
IFEval: 24.25 vs 88 (so35)-72.4%
MATH Lvl 5: 5.21
LLME Score: 0.25129
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SJT 0.5B (Sakalti/SJT-0.5B)

SJT 0.5B Parameters and Internals

LLM NameSJT 0.5B
Repository 🤗https://huggingface.co/Sakalti/SJT-0.5B 
Base Model(s)  Qwen/Qwen2.5-0.5B-Instruct   Qwen/Qwen2.5-0.5B   Qwen/Qwen2.5-0.5B-Instruct   Qwen/Qwen2.5-0.5B
Merged ModelYes
Model Size0.5b
Required VRAM1.3 GB
Updated2025-04-29
MaintainerSakalti
Model Typeqwen2
Model Files  0.3 GB: 1-of-3   0.5 GB: 2-of-3   0.5 GB: 3-of-3
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.46.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

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ECE PRYMMAL 0.5B FT V4 MUSR128K / 2 GB50
Note: green Score (e.g. "73.2") means that the model is better than Sakalti/SJT-0.5B.

Rank the SJT 0.5B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Release v20241227
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