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QM 4B by TSjB

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QM 4B is an open-source language model by TSjB. Features: 4b LLM, VRAM: 15.9GB, Context: 256K, License: cc-by-nc-sa-4.0, LLM Explorer Score: 0.24.

Base model:finetune:tsjb/qm-4b... Base model:tsjb/qm-4b-embeddin...   Caucasian-languages   Conversational   En   Endpoints compatible   Karachay-balkar   Krc   Multilingual   Qarachay-malqar   Qwen3   Region:us   Ru   Safetensors   Sft   Sharded   Tensorflow   Trl   Turkic-languages   Unsloth
Model Card on HF 🤗: https://huggingface.co/TSjB/QM-4B 

QM 4B Benchmarks

LLME Score: 0.23698
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
QM 4B (TSjB/QM-4B)
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QM 4B Parameters and Internals

LLM NameQM 4B
Repository 🤗https://huggingface.co/TSjB/QM-4B 
Model NameQM-4B
Base Model(s)  TSjB/QM-4B-embeddings-only   TSjB/QM-4B-embeddings-only
Model Size4b
Required VRAM15.9 GB
Updated2026-06-02
MaintainerTSjB
Model Typeqwen3
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.0 GB: 4-of-4
Supported Languagesru en
Model ArchitectureQwen3ForCausalLM
Licensecc-by-nc-sa-4.0
Context Length262144
Model Max Length262144
Transformers Version4.57.3
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|endoftext|>
Vocabulary Size130001
Errorsreplace

Best Alternatives to QM 4B

Best Alternatives
Context / RAM
Downloads
Likes
Qwen3 4B Instruct 2507256K / 8.1 GB6037338862
GRPO 4 70256K / 8.1 GB50
Qwen3 4B Thinking 2507256K / 8.1 GB599357591
Lightning 4B256K / 8.1 GB136
AgentCPM Explore256K / 8.9 GB1179415
OpenSonnet Lite MAX256K / 8 GB40530
Jan V1 4B256K / 8.1 GB108354353
Qwen3 4B Instruct 2507 FP8256K / 5.2 GB80378075
OpenSonnet Lite256K / 8.1 GB34524
CyberSecQwen 4B256K / 8 GB78311
Note: green Score (e.g. "73.2") means that the model is better than TSjB/QM-4B.

Rank the QM 4B 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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