What are the hardware requirements for Qwen2.5 Coder 7B Instruct Rai 1.8.0 Npu 16K?

Qwen2.5 Coder 7B Instruct Rai 1.8.0 Npu 16K requires approximately 3.9 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 Rai 1.8.0 Npu 16K and how large is it?

Qwen2.5 Coder 7B Instruct Rai 1.8.0 Npu 16K is developed by amd, 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 Rai 1.8.0 Npu 16K?

Qwen2.5 Coder 7B Instruct Rai 1.8.0 Npu 16K 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 Rai 1.8.0 Npu 16K by amd — VRAM 3.9GB, 32K context

Name: Qwen2.5 Coder 7B Instruct Rai 1.8.0 Npu 16K
Author: amd

Qwen2.5 Coder 7B Instruct Rai 1.8.0 Npu 16K is an open-source language model by amd. Features: 7b LLM, VRAM: 3.9GB, Context: 32K, License: apache-2.0, Instruction-Based, Code Generating, LLM Explorer Score: 0.26.

Amd Codegen Conversational En Instruct Npu 16k Onnx Quark Qwen2 Region:us Ryzenai

Model Card on HF 🤗: https://huggingface.co/amd/Qwen2.5-Coder-7B-Instruct_rai_1.8.0_npu_16K

Qwen2.5 Coder 7B Instruct Rai 1.8.0 Npu 16K Parameters and Internals

LLM Name	Qwen2.5 Coder 7B Instruct Rai 1.8.0 Npu 16K
Repository 🤗	https://huggingface.co/amd/Qwen2.5-Coder-7B-Instruct_rai_1.8.0_npu_16K
Model Size	7b
Required VRAM	3.9 GB
Updated	2026-08-08
Maintainer	amd
Model Type	qwen2
Instruction-Based	Yes
Model Files	3.9 GB 0.0 GB
Supported Languages	en
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.57.6
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Errors	replace

Rank the Qwen2.5 Coder 7B Instruct Rai 1.8.0 Npu 16K 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 Rai 1.8.0 Npu 16K

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 7B Rebase	986K / 15.2 GB	73	2
Qwen2.5 7B Rebase	986K / 15.2 GB	12	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
....5 Coder 7B Instruct Ghidra V2	32K / 15.2 GB	362	1
Qwen2.5 7B MS Destroyer	32K / 15.2 GB	5	1
Viper Coder HybridMini V1.3	32K / 15.2 GB	21	9

Note: green Score (e.g. "73.2") means that the model is better than amd/Qwen2.5-Coder-7B-Instruct_rai_1.8.0_npu_16K.