Sqweeks 7B Instruct by prithivMLmods

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Sqweeks 7B Instruct is an open-source language model by prithivMLmods. Features: 7b LLM, VRAM: 15.2GB, Context: 8K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.24.

  7b Base model:finetune:prithivmlm... Base model:prithivmlmods/qwq-l...   Conversational   En   Endpoints compatible   Instruct   Qwen   Qwen2   Reasoner   Region:us   Safetensors   Sharded   Sqweeks   Tensorflow

Sqweeks 7B Instruct Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Sqweeks 7B Instruct Parameters and Internals

LLM NameSqweeks 7B Instruct
Repository 🤗https://huggingface.co/prithivMLmods/Sqweeks-7B-Instruct 
Base Model(s)  QwQ LCoT2 7B Instruct   prithivMLmods/QwQ-LCoT2-7B-Instruct
Model Size7b
Required VRAM15.2 GB
Updated2026-05-13
MaintainerprithivMLmods
Model Typeqwen2
Instruction-BasedYes
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.47.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace

Best Alternatives to Sqweeks 7B Instruct

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 7B Instruct 1M986K / 15.4 GB32350369
Hush Qwen2.5 7B RP V1.4 1M986K / 15.2 GB172
Qwen2.5 7B RRP 1M986K / 15.2 GB266
Qwen2.5 7B CelestialHarmony 1M986K / 14.8 GB297
Q2.5 Instruct 1M Harmony986K / 15.2 GB42
Impish QWEN 7B 1M986K / 15.2 GB56
COCO 7B Instruct 1M986K / 15.2 GB154
Apollo 7B986K / 15.2 GB60
Graph R1 7B986K / 15.3 GB43
Qwen2.5 7B Sky R1 Mini986K / 15.2 GB140
Note: green Score (e.g. "73.2") means that the model is better than prithivMLmods/Sqweeks-7B-Instruct.

Rank the Sqweeks 7B Instruct 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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Release v20260328a