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Qwen Sft Smoltalk by lipefree

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Qwen Sft Smoltalk is an open-source language model by lipefree. Features: 596m LLM, VRAM: 1.2GB, Context: 32K, LLM Explorer Score: 0.19.

  Arxiv:1910.09700   Autotrain compatible   Conversational   Endpoints compatible   Qwen3   Region:us   Safetensors   Sft   Trl
Model Card on HF 🤗: https://huggingface.co/lipefree/qwen-sft-smoltalk 

Qwen Sft Smoltalk Benchmarks

LLME Score: 0.19278
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen Sft Smoltalk (lipefree/qwen-sft-smoltalk)
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Qwen Sft Smoltalk Parameters and Internals

LLM NameQwen Sft Smoltalk
Repository 🤗https://huggingface.co/lipefree/qwen-sft-smoltalk 
Model Size596m
Required VRAM1.2 GB
Updated2025-09-18
Maintainerlipefree
Model Typeqwen3
Model Files  1.2 GB
Model ArchitectureQwen3ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.52.4
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Sam Reason A140K / 2.4 GB201
Qwen3 0p6mimo S3 Bf16120032K / 1.2 GB1170
Qwen3 Grpo2 9632K / 1.2 GB50
Qwen3 0p6 Bf16 60032K / 1.2 GB60
MNLP M3 DPO Sft200k CME32K / 2.4 GB200
Rubi No Reason Phase 232K / 1.2 GB60
... Reason Phase Only Ultrafeed 132K / 1.2 GB90
Note: green Score (e.g. "73.2") means that the model is better than lipefree/qwen-sft-smoltalk.

Rank the Qwen Sft Smoltalk 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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