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Loomstack Qwen 4B Sft Prompted by Itachi-42

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Loomstack Qwen 4B Sft Prompted is an open-source language model by Itachi-42. Features: 4b LLM, VRAM: 8.1GB, Context: 40K, Quantized, LLM Explorer Score: 0.28.

  4bit   Conversational   Endpoints compatible   Generated from trainer   Hf jobs   Quantized   Qwen3   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/Itachi-42/loomstack-qwen-4b-sft-prompted 

Loomstack Qwen 4B Sft Prompted Benchmarks

LLME Score: 0.27717
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Loomstack Qwen 4B Sft Prompted (Itachi-42/loomstack-qwen-4b-sft-prompted)
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Loomstack Qwen 4B Sft Prompted Parameters and Internals

LLM NameLoomstack Qwen 4B Sft Prompted
Repository 🤗https://huggingface.co/Itachi-42/loomstack-qwen-4b-sft-prompted 
Model Namesft_4b_prompted_out
Base Model(s)  unsloth/qwen3-4b-unsloth-bnb-4bit   unsloth/qwen3-4b-unsloth-bnb-4bit
Model Size4b
Required VRAM8.1 GB
Updated2026-04-26
MaintainerItachi-42
Model Typeqwen3
Model Files  5.0 GB: 1-of-2   3.1 GB: 2-of-2
Quantization Type4bit
Model ArchitectureQwen3ForCausalLM
Context Length40960
Model Max Length40960
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Loomstack Qwen 4B Sft Prompted

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...wen3 4B Thinking 2507 MLX 8bit256K / 4.3 GB698407
Qwen3 4B ARC MLX 4bit256K / 2 GB2802
Qwen3 4B Instruct 2507 4bit256K / 2.3 GB336919
Fact Extractor Dev 1b256K / 8.1 GB2710
Jan V3 4B Base Instruct 4bit256K / 2.3 GB7502
...Thinking 2507 Unsloth Bnb 4bit256K / 3.5 GB150672
...4B Cybersecurity Heretic 16bit256K / 8.1 GB552
Note: green Score (e.g. "73.2") means that the model is better than Itachi-42/loomstack-qwen-4b-sft-prompted.

Rank the Loomstack Qwen 4B Sft Prompted 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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