Qwen2.5 Coder 7B Instruct NL2SH by westenfelder

 ยป  All LLMs  ยป  westenfelder  ยป  Qwen2.5 Coder 7B Instruct NL2SH   URL Share it on

  Arxiv:2502.06858   Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-coder-...   Codegen Dataset:westenfelder/nl2sh-alf...   En   Endpoints compatible   Instruct   Model-index   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Translation

Qwen2.5 Coder 7B Instruct NL2SH Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 Coder 7B Instruct NL2SH (westenfelder/Qwen2.5-Coder-7B-Instruct-NL2SH)
๐ŸŒŸ Advertise your project ๐Ÿš€

Qwen2.5 Coder 7B Instruct NL2SH Parameters and Internals

LLM NameQwen2.5 Coder 7B Instruct NL2SH
Repository ๐Ÿค—https://huggingface.co/westenfelder/Qwen2.5-Coder-7B-Instruct-NL2SH 
Base Model(s)  Qwen/Qwen2.5-Coder-7B-Instruct   Qwen/Qwen2.5-Coder-7B-Instruct
Model Size7b
Required VRAM15.2 GB
Updated2025-09-22
Maintainerwestenfelder
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
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.46.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Qwen2.5 Coder 7B Instruct NL2SH

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 7B Rebase986K / 15.2 GB732
Qwen2.5 7B Rebase986K / 15.2 GB102
StockQwen 2.5 7B128K / 15.2 GB205
DareQwen 2.5 7B128K / 15.2 GB61
Tessa T1 7B117K / 15.2 GB610
UIGEN T1.5 7B117K / 15.2 GB96
Qwen2.5 Coder 7B Instruct32K / 15.2 GB902519540
Dante 7B32K / 15.2 GB350616
Qwen2.5 7B MS Destroyer32K / 15.2 GB31
Viper Coder HybridMini V1.332K / 15.2 GB310
Note: green Score (e.g. "73.2") means that the model is better than westenfelder/Qwen2.5-Coder-7B-Instruct-NL2SH.

Rank the Qwen2.5 Coder 7B Instruct NL2SH Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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? 51534 in total.

Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124