What are the hardware requirements for Qwen2.5 Coder 1.5B Instruct Bnb 4bit?

Qwen2.5 Coder 1.5B Instruct Bnb 4bit requires approximately 1.1 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 1.5B Instruct Bnb 4bit and how large is it?

Qwen2.5 Coder 1.5B Instruct Bnb 4bit is developed by unsloth, a model with 1.5b 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 1.5B Instruct Bnb 4bit?

Qwen2.5 Coder 1.5B Instruct Bnb 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 Coder 1.5B Instruct Bnb 4bit by unsloth — VRAM 1.1GB, 32K context

Name: Qwen2.5 Coder 1.5B Instruct Bnb 4bit
Author: unsloth

Qwen2.5 Coder 1.5B Instruct Bnb 4bit is an open-source language model by unsloth. Features: 1.5b LLM, VRAM: 1.1GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, Code Generating, LLM Explorer Score: 0.19.

Arxiv:2309.00071 Arxiv:2407.10671 Arxiv:2409.12186 4-bit 4bit Base model:quantized:qwen/qwen... Base model:qwen/qwen2.5-coder-... Bitsandbytes Codegen Conversational Deploy:azure En Endpoints compatible Instruct Quantized Qwen2 Region:us Safetensors Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/Qwen2.5-Coder-1.5B-Instruct-bnb-4bit

Qwen2.5 Coder 1.5B Instruct Bnb 4bit Parameters and Internals

Model Type

Causal Language Models

Use Cases

Primary Use Cases:

Code generation, Code reasoning, Code fixing

Supported Languages

en (full_support)

Training Details

Data Volume:

5.5 trillion tokens

Methodology:

Pretraining & Post-training

Context Length:

131072

Model Architecture:

transformers with RoPE, SwiGLU, RMSNorm, Attention QKV bias and tied word embeddings

LLM Name	Qwen2.5 Coder 1.5B Instruct Bnb 4bit
Repository 🤗	https://huggingface.co/unsloth/Qwen2.5-Coder-1.5B-Instruct-bnb-4bit
Base Model(s)	Qwen/Qwen2.5-Coder-1.5B-Instruct Qwen/Qwen2.5-Coder-1.5B-Instruct
Model Size	1.5b
Required VRAM	1.1 GB
Updated	2026-09-19
Maintainer	unsloth
Model Type	qwen2
Instruction-Based	Yes
Model Files	1.1 GB
Supported Languages	en
Quantization Type	4bit
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.44.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|PAD_TOKEN\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2.5 Coder 1.5B Instruct Bnb 4bit 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

Quantized Models of the Qwen2.5 Coder 1.5B Instruct Bnb 4bit

Model	Likes	Downloads	VRAM
Qwen2.5 Coder 1.5B NL Java	0	16	3 GB

Best Alternatives to Qwen2.5 Coder 1.5B Instruct Bnb 4bit

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 Coder 1.5B NL Java	32K / 3.1 GB	16	0
Zirel 1.5	32K / 3.1 GB	18	0
Text2SQL 1.5B	32K / 3.1 GB	14	7
FastApply 1.5B V1.0	32K / 3.1 GB	915	43
...en2.5 Coder 1.5B Instruct 4bit	32K / 0.9 GB	2030	2
Merge Cord V1	128K / 3.1 GB	155	1
Replete Coder Qwen2 1.5B	128K / 3.1 GB	233	23
Pulsar Coder 1.5B	32K / 3.1 GB	13	0
Qwen2.5 Coder 1.5B Instruct	32K / 3.1 GB	695585	134
Mythos Qwen 1.5B Final	32K / 3.1 GB	104	1

Note: green Score (e.g. "73.2") means that the model is better than unsloth/Qwen2.5-Coder-1.5B-Instruct-bnb-4bit.