VL 1 Coder by vectionlabs

 »  All LLMs  »  vectionlabs  »  VL 1 Coder   URL Share it on

VL 1 Coder is an open-source language model by vectionlabs. Features: 7b LLM, VRAM: 15.2GB, Context: 32K, License: apache-2.0, Instruction-Based, Code Generating, LLM Explorer Score: 0.27.

  Agent Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-coder-...   Code   Codegen   Coder   Coding   Conversational   Custom-code   En   Fast   Instruct   It   Local   Qwen   Qwen2   Reasoning   Region:us   Safetensors   Sharded   Tensorflow   Vectionlabs

VL 1 Coder Benchmarks

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

VL 1 Coder Parameters and Internals

LLM NameVL 1 Coder
Repository 🤗https://huggingface.co/vectionlabs/VL-1-Coder 
Base Model(s)  Qwen/Qwen2.5-Coder-7B-Instruct   Qwen/Qwen2.5-Coder-7B-Instruct
Model Size7b
Required VRAM15.2 GB
Updated2026-07-07
Maintainervectionlabs
Model Typeqwen2
Instruction-BasedYes
Model Files  4.8 GB: 1-of-4   4.7 GB: 2-of-4   4.6 GB: 3-of-4   1.1 GB: 4-of-4
Supported Languagesen it
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.44.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to VL 1 Coder

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 7B Rebase986K / 15.2 GB732
Qwen2.5 7B Rebase986K / 15.2 GB162
StockQwen 2.5 7B128K / 15.2 GB76
DareQwen 2.5 7B128K / 15.2 GB61
Tessa T1 7B117K / 15.2 GB710
UIGEN T1.5 7B117K / 15.2 GB86
Qwen2.5 Coder 7B Instruct32K / 15.2 GB2343223712
Qwen2.5 7B MS Destroyer32K / 15.2 GB91
Viper Coder HybridMini V1.332K / 15.2 GB309
Qwen2.5 Coder 7B Instruct MLX32K / 15.2 GB7665
Note: green Score (e.g. "73.2") means that the model is better than vectionlabs/VL-1-Coder.

Rank the VL 1 Coder 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  

What open-source LLMs or SLMs are you in search of? 54868 in total.

Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a