What are the hardware requirements for Qwen2 7B Instruct CODE Python Spanish English Asistant 16bit?

Qwen2 7B Instruct CODE Python Spanish English Asistant 16bit 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.

Where can I download or evaluate Qwen2 7B Instruct CODE Python Spanish English Asistant 16bit?

Qwen2 7B Instruct CODE Python Spanish English Asistant 16bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2 7B Instruct CODE Python Spanish English Asistant 16bit by Agnuxo — VRAM 15.2GB, 32K context

Name: Qwen2 7B Instruct CODE Python Spanish English Asistant 16bit
Author: Agnuxo

Qwen2 7B Instruct CODE Python Spanish English Asistant 16bit is an open-source language model by Agnuxo. Features: 7b LLM, VRAM: 15.2GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.14.

Arxiv:2604.19792 16bit Cajal Code-generation-assistant Conversational En Es Instruct Local-ai P2pclaw Quantized Qwen2 Region:us Safetensors Scientific-research Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Agnuxo/Qwen2-7B-Instruct_CODE_Python_Spanish_English_Asistant-16bit

Qwen2 7B Instruct CODE Python Spanish English Asistant 16bit Parameters and Internals

Model Type

text-generation-inference, transformers

Additional Notes

This qwen2 model was trained 2x faster with Unsloth and Huggingface's TRL library.

Supported Languages

en (N/A)

Training Details

Methodology:

Finetuned using Unsloth and Huggingface's TRL library

LLM Name	Qwen2 7B Instruct CODE Python Spanish English Asistant 16bit
Repository 🤗	https://huggingface.co/Agnuxo/Qwen2-7B-Instruct_CODE_Python_Spanish_English_Asistant-16bit
Base Model(s)	unsloth/qwen2-7b-instruct-bnb-4bit unsloth/qwen2-7b-instruct-bnb-4bit
Model Size	7b
Required VRAM	15.2 GB
Updated	2026-09-09
Maintainer	Agnuxo
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
Supported Languages	en es
Quantization Type	16bit
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.43.4
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2 7B Instruct CODE Python Spanish English Asistant 16bit 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 7B Instruct CODE Python Spanish English Asistant 16bit

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 7B Instruct 1M 4bit	986K / 4.3 GB	444	11
...wen2.5 7B Instruct 1M Bnb 4bit	986K / 5.5 GB	267	1
Qwen2.5 7B Instruct 1M 8bit	986K / 8.1 GB	63	4
Qwen2.5 7B Instruct 1M 6bit	986K / 6.2 GB	52	2
...B Instruct 1M Unsloth Bnb 4bit	986K / 7.5 GB	37	3
Legal Qwen2.5 7B Sft	128K / 15.2 GB	98	0
Alisia 7B Instruct V1	128K / 15.4 GB	114	2
...5 7B Instruct SFT Meme LoRA V7	128K / 15.2 GB	6	0
Gte Qwen2 7B Instruct 4bit DWQ	128K / 4.3 GB	88	3
WINTER FROST 2 PRO	32K / 15.2 GB	605	1

Note: green Score (e.g. "73.2") means that the model is better than Agnuxo/Qwen2-7B-Instruct_CODE_Python_Spanish_English_Asistant-16bit.