What are the hardware requirements for Chemsmart Qwen2.5 Coder 3B Instruct V13.1?

Chemsmart Qwen2.5 Coder 3B Instruct V13.1 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 Chemsmart Qwen2.5 Coder 3B Instruct V13.1 and how large is it?

Chemsmart Qwen2.5 Coder 3B Instruct V13.1 is developed by Smilesjs, 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 Chemsmart Qwen2.5 Coder 3B Instruct V13.1?

Chemsmart Qwen2.5 Coder 3B Instruct V13.1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Chemsmart Qwen2.5 Coder 3B Instruct V13.1 by Smilesjs — VRAM 6.2GB, 32K context

Name: Chemsmart Qwen2.5 Coder 3B Instruct V13.1
Author: Smilesjs

Chemsmart Qwen2.5 Coder 3B Instruct V13.1 is an open-source language model by Smilesjs. Features: 3b LLM, VRAM: 6.2GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, Code Generating, LLM Explorer Score: 0.26.

4bit Base model:finetune:unsloth/qw... Base model:unsloth/qwen2.5-cod... Codegen Conversational En Endpoints compatible Instruct Quantized Qwen2 Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/Smilesjs/chemsmart-qwen2.5-coder-3b-instruct-v13_1

Chemsmart Qwen2.5 Coder 3B Instruct V13.1 Parameters and Internals

LLM Name	Chemsmart Qwen2.5 Coder 3B Instruct V13.1
Repository 🤗	https://huggingface.co/Smilesjs/chemsmart-qwen2.5-coder-3b-instruct-v13_1
Base Model(s)	unsloth/Qwen2.5-Coder-3B-Instruct-bnb-4bit unsloth/Qwen2.5-Coder-3B-Instruct-bnb-4bit
Model Size	3b
Required VRAM	6.2 GB
Updated	2026-07-25
Maintainer	Smilesjs
Model Type	qwen2
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 1.2 GB: 2-of-2
Supported Languages	en
Quantization Type	4bit
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|PAD_TOKEN\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Chemsmart Qwen2.5 Coder 3B Instruct V13.1 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 Chemsmart Qwen2.5 Coder 3B Instruct V13.1

Best Alternatives	Context / RAM	Downloads	Likes
Qwen Manim Animation 16bit	32K / 6.2 GB	453	0
...2.5 Coder 3B Instruct Bnb 4bit	32K / 2 GB	19104	7
Qwen2.5 Coder 3B Instruct 4bit	32K / 1.7 GB	1621	2
Qwen3b Lora Finetune	32K / 6.2 GB	9	1
Qwen3b Lora Finetune	32K / 6.2 GB	0	1
Qwen2.5 0.5 Bnb 4bit	32K / 2 GB	23	1
VibeThinker 3B	128K / 6.2 GB	52745	806
VibeThinker 3B Heretic	128K / 6.2 GB	1016	4
Tessa T1 3B	117K / 6.2 GB	10	5
UIGEN T1.5 3B	117K / 6.2 GB	7	1

Note: green Score (e.g. "73.2") means that the model is better than Smilesjs/chemsmart-qwen2.5-coder-3b-instruct-v13_1.