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St3 Response Sft by SaketR1

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St3 Response Sft is an open-source language model by SaketR1. Features: 0.8b LLM, VRAM: 1.5GB, Context: 256K, LLM Explorer Score: 0.3.

Base model:finetune:qwen/qwen3...   Base model:qwen/qwen3.5-0.8b   Conversational   Endpoints compatible   Generated from trainer   Qwen3 5 text   Region:us   Safetensors   Sft   Trl
Model Card on HF 🤗: https://huggingface.co/SaketR1/st3-response-sft 

St3 Response Sft Benchmarks

LLME Score: 0.29565
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
St3 Response Sft (SaketR1/st3-response-sft)
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St3 Response Sft Parameters and Internals

LLM NameSt3 Response Sft
Repository 🤗https://huggingface.co/SaketR1/st3-response-sft 
Model Namest3-response-sft
Base Model(s)  Qwen/Qwen3.5-0.8B   Qwen/Qwen3.5-0.8B
Model Size0.8b
Required VRAM1.5 GB
Updated2026-05-24
MaintainerSaketR1
Model Typeqwen3_5_text
Model Files  1.5 GB   0.0 GB
Model ArchitectureQwen3_5ForCausalLM
Context Length262144
Model Max Length262144
Transformers Version5.8.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size248320
Errorsreplace

Best Alternatives to St3 Response Sft

Best Alternatives
Context / RAM
Downloads
Likes
St4 Annealing Sft256K / 1.5 GB5260
St4 Generic Sft256K / 1.5 GB3860
St5 Generic Sft256K / 1.5 GB3040
Qwenite3.5 0.8B256K / 1.5 GB330
...wen3.5 0.8B TW CivicAligned V1256K / 1.5 GB521
...aling Sft Fixed Tokenization 2256K / 1.5 GB380
Qwen3.5 Text 0.8B Bnb 4bit256K / 0.8 GB3540

Rank the St3 Response Sft 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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