What are the hardware requirements for Qwen25 7B Fr Journalism V06 Merged?

Qwen25 7B Fr Journalism V06 Merged requires approximately 15.3 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 Qwen25 7B Fr Journalism V06 Merged and how large is it?

Qwen25 7B Fr Journalism V06 Merged is developed by aamohame, 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 Qwen25 7B Fr Journalism V06 Merged?

Qwen25 7B Fr Journalism V06 Merged is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen25 7B Fr Journalism V06 Merged by aamohame — VRAM 15.3GB, 32K context

Name: Qwen25 7B Fr Journalism V06 Merged
Author: aamohame

Qwen25 7B Fr Journalism V06 Merged is an open-source language model by aamohame. Features: 7b LLM, VRAM: 15.3GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.28.

Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-7b-ins... Conversational Endpoints compatible French Instruct Journalism Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/aamohame/qwen25-7b-fr-journalism-v06-merged

Qwen25 7B Fr Journalism V06 Merged Parameters and Internals

LLM Name	Qwen25 7B Fr Journalism V06 Merged
Repository 🤗	https://huggingface.co/aamohame/qwen25-7b-fr-journalism-v06-merged
Base Model(s)	Qwen/Qwen2.5-7B-Instruct Qwen/Qwen2.5-7B-Instruct
Model Size	7b
Required VRAM	15.3 GB
Updated	2026-10-22
Maintainer	aamohame
Model Type	qwen2
Instruction-Based	Yes
Model Files	4.0 GB: 1-of-4 3.9 GB: 2-of-4 3.9 GB: 3-of-4 3.5 GB: 4-of-4
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	5.16.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Errors	replace

Rank the Qwen25 7B Fr Journalism V06 Merged capabilities

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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 Qwen25 7B Fr Journalism V06 Merged

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 7B Instruct 1M	986K / 15.4 GB	52534	373
Rewnozom	986K / 30.5 GB	742	1
Hush Qwen2.5 7B RP V1.4 1M	986K / 15.2 GB	10	2
Qwen2.5 7B RRP 1M	986K / 15.2 GB	5	6
Qwen2.5 7B CelestialHarmony 1M	986K / 14.8 GB	8	7
Q2.5 Instruct 1M Harmony	986K / 15.2 GB	4	2
Impish QWEN 7B 1M	986K / 15.2 GB	4	6
COCO 7B Instruct 1M	986K / 15.2 GB	9	4
Apollo 7B	986K / 15.2 GB	8	0
Graph R1 7B	986K / 15.3 GB	7	3

Note: green Score (e.g. "73.2") means that the model is better than aamohame/qwen25-7b-fr-journalism-v06-merged.