What are the hardware requirements for Qwen2.5 Coder 7B Instruct NL2SH?

Qwen2.5 Coder 7B Instruct NL2SH requires approximately 15.2 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen2.5 Coder 7B Instruct NL2SH and how large is it?

Qwen2.5 Coder 7B Instruct NL2SH is developed by westenfelder, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Qwen2.5 Coder 7B Instruct NL2SH?

Qwen2.5 Coder 7B Instruct NL2SH is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 Coder 7B Instruct NL2SH by westenfelder — VRAM 15.2GB, 32K context

Name: Qwen2.5 Coder 7B Instruct NL2SH
Author: westenfelder

Qwen2.5 Coder 7B Instruct NL2SH is an open-source language model by westenfelder. Features: 7b LLM, VRAM: 15.2GB, Context: 32K, License: mit, Instruction-Based, Code Generating, LLM Explorer Score: 0.16.

Arxiv:2502.06858 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

Model Card on HF 🤗: https://huggingface.co/westenfelder/Qwen2.5-Coder-7B-Instruct-NL2SH

Qwen2.5 Coder 7B Instruct NL2SH Parameters and Internals

LLM Name	Qwen2.5 Coder 7B Instruct NL2SH
Repository 🤗	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 Size	7b
Required VRAM	15.2 GB
Updated	2026-07-30
Maintainer	westenfelder
Model Type	qwen2
Instruction-Based	Yes
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 Languages	en
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
License	mit
Context Length	32768
Model Max Length	32768
Transformers Version	4.46.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|PAD_TOKEN\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2.5 Coder 7B Instruct NL2SH capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to Qwen2.5 Coder 7B Instruct NL2SH

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 7B Rebase	986K / 15.2 GB	73	2
Qwen2.5 7B Rebase	986K / 15.2 GB	16	2
StockQwen 2.5 7B	128K / 15.2 GB	69	6
DareQwen 2.5 7B	128K / 15.2 GB	11	1
Tessa T1 7B	117K / 15.2 GB	14	10
UIGEN T1.5 7B	117K / 15.2 GB	12	6
Qwen2.5 Coder 7B Instruct	32K / 15.2 GB	2019400	765
Vibe Coder 7B Max	32K / 15.3 GB	460	1
Finsec Detector	32K / 15.2 GB	390	1
Qwen2.5 Coder Malay 7B	32K / 15.2 GB	195	1

Note: green Score (e.g. "73.2") means that the model is better than westenfelder/Qwen2.5-Coder-7B-Instruct-NL2SH.