What are the hardware requirements for Qwen2.5 7B Instruct Star Code V3.10 2 3Rounds Iter 3?

Qwen2.5 7B Instruct Star Code V3.10 2 3Rounds Iter 3 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 7B Instruct Star Code V3.10 2 3Rounds Iter 3 and how large is it?

Qwen2.5 7B Instruct Star Code V3.10 2 3Rounds Iter 3 is developed by TongZheng1999, 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 7B Instruct Star Code V3.10 2 3Rounds Iter 3?

Qwen2.5 7B Instruct Star Code V3.10 2 3Rounds Iter 3 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 7B Instruct Star Code V3.10 2 3Rounds Iter 3 by TongZheng1999 — VRAM 15.2GB, 32K context

Name: Qwen2.5 7B Instruct Star Code V3.10 2 3Rounds Iter 3
Author: TongZheng1999

Qwen2.5 7B Instruct Star Code V3.10 2 3Rounds Iter 3 is an open-source language model by TongZheng1999. Features: 7b LLM, VRAM: 15.2GB, Context: 32K, Instruction-Based, LLM Explorer Score: 0.17.

Alignment-handbook Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-7b-ins... Conversational Endpoints compatible Generated from trainer Instruct Qwen2 Region:us Safetensors Sft Sharded Tensorboard Tensorflow Trl

Model Card on HF 🤗: https://huggingface.co/TongZheng1999/Qwen2.5-7B-Instruct-star-code-v3_10-2-3Rounds-iter-3

Qwen2.5 7B Instruct Star Code V3.10 2 3Rounds Iter 3 Parameters and Internals

LLM Name	Qwen2.5 7B Instruct Star Code V3.10 2 3Rounds Iter 3
Repository 🤗	https://huggingface.co/TongZheng1999/Qwen2.5-7B-Instruct-star-code-v3_10-2-3Rounds-iter-3
Model Name	Qwen2.5-7B-Instruct-star-code-v3_10-2-3Rounds-iter-3
Base Model(s)	Qwen/Qwen2.5-7B-Instruct Qwen/Qwen2.5-7B-Instruct
Model Size	7b
Required VRAM	15.2 GB
Updated	2026-08-04
Maintainer	TongZheng1999
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 0.0 GB
Model Architecture	Qwen2ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.49.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|im_end\|>
Vocabulary Size	151665
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2.5 7B Instruct Star Code V3.10 2 3Rounds Iter 3 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 7B Instruct Star Code V3.10 2 3Rounds Iter 3

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 7B Instruct 1M	986K / 15.4 GB	52534	373
Rewnozom	986K / 30.5 GB	742	1
Hush Qwen2.5 7B RP V1.4 1M	986K / 15.2 GB	10	2
Qwen2.5 7B RRP 1M	986K / 15.2 GB	5	6
Qwen2.5 7B CelestialHarmony 1M	986K / 14.8 GB	8	7
Q2.5 Instruct 1M Harmony	986K / 15.2 GB	4	2
Impish QWEN 7B 1M	986K / 15.2 GB	4	6
COCO 7B Instruct 1M	986K / 15.2 GB	9	4
Apollo 7B	986K / 15.2 GB	8	0
Graph R1 7B	986K / 15.3 GB	7	3

Note: green Score (e.g. "73.2") means that the model is better than TongZheng1999/Qwen2.5-7B-Instruct-star-code-v3_10-2-3Rounds-iter-3.