What are the hardware requirements for Qwen2.5 Coder 3B Instruct Spider Sft Grpo?

Qwen2.5 Coder 3B Instruct Spider Sft Grpo requires approximately 6.2 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 3B Instruct Spider Sft Grpo and how large is it?

Qwen2.5 Coder 3B Instruct Spider Sft Grpo is developed by riit3sh, a model with 3b 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 3B Instruct Spider Sft Grpo?

Qwen2.5 Coder 3B Instruct Spider Sft Grpo is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 Coder 3B Instruct Spider Sft Grpo by riit3sh — VRAM 6.2GB, 32K context

Name: Qwen2.5 Coder 3B Instruct Spider Sft Grpo
Author: riit3sh

Qwen2.5 Coder 3B Instruct Spider Sft Grpo is an open-source language model by riit3sh. Features: 3b LLM, VRAM: 6.2GB, Context: 32K, License: apache-2.0, Instruction-Based, Code Generating, LLM Explorer Score: 0.32.

Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-coder-... Code Codegen Codegen Conversational Dataset:spider En Grpo Instruct Model-index Qwen2 Qwen2.5 Region:us Safetensors Sharded Spider Sql Sql Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/riit3sh/qwen2.5-coder-3b-instruct-spider-sft-grpo

Qwen2.5 Coder 3B Instruct Spider Sft Grpo Parameters and Internals

LLM Name	Qwen2.5 Coder 3B Instruct Spider Sft Grpo
Repository 🤗	https://huggingface.co/riit3sh/qwen2.5-coder-3b-instruct-spider-sft-grpo
Base Model(s)	Qwen/Qwen2.5-Coder-3B-Instruct Qwen/Qwen2.5-Coder-3B-Instruct
Model Size	3b
Required VRAM	6.2 GB
Updated	2026-08-24
Maintainer	riit3sh
Model Type	qwen2
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 1.2 GB: 2-of-2 6.2 GB
Supported Languages	en
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	5.15.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|PAD_TOKEN\|>
Vocabulary Size	151936
Errors	replace

Rank the Qwen2.5 Coder 3B Instruct Spider Sft Grpo 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 3B Instruct Spider Sft Grpo

Best Alternatives	Context / RAM	Downloads	Likes
VibeThinker 3B	128K / 6.2 GB	52745	806
Tessa T1 3B	117K / 6.2 GB	10	5
UIGEN T1.5 3B	117K / 6.2 GB	7	1
Qwen2.5 Coder 3B Instruct	32K / 6.2 GB	196733	115
Qwen 2.5 3b Smarteaz 0.01a	32K / 6.3 GB	8	1
Q2.5 CodeR1 3B	32K / 6.2 GB	0	1
VisCoder2 3B	32K / 6.2 GB	55	3
Qwen 2.5 Coder 3B SQL Writer	32K / 6.2 GB	3	1
Omega Qwen2.5 Coder 3B	32K / 6.2 GB	28	3
Arch Agent 3B	32K / 6.2 GB	42	8

Note: green Score (e.g. "73.2") means that the model is better than riit3sh/qwen2.5-coder-3b-instruct-spider-sft-grpo.