What are the hardware requirements for Qwen2 7B Alpacha Merged 16bit?

Qwen2 7B Alpacha Merged 16bit requires approximately 15.2 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen2 7B Alpacha Merged 16bit and how large is it?

Qwen2 7B Alpacha Merged 16bit is developed by dbands, 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 7B Alpacha Merged 16bit?

Qwen2 7B Alpacha Merged 16bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2 7B Alpacha Merged 16bit by dbands — VRAM 15.2GB, 128K context

Name: Qwen2 7B Alpacha Merged 16bit
Author: dbands

Qwen2 7B Alpacha Merged 16bit is an open-source language model by dbands. Features: 7b LLM, VRAM: 15.2GB, Context: 128K, License: apache-2.0, Quantized, Merged, LLM Explorer Score: 0.13.

Merged Model 4bit Base model:finetune:unsloth/qw... Base model:unsloth/qwen2-7b-bn... Conversational En Endpoints compatible Pytorch Quantized Qwen2 Region:us Safetensors Sft Sharded Tensorflow Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/dbands/Qwen2-7b-Alpacha-merged_16bit

Qwen2 7B Alpacha Merged 16bit Parameters and Internals

Model Type

text-generation-inference, transformers, unsloth, qwen2, trl, sft

Additional Notes

The Qwen2 model was trained 2x faster with Unsloth and Huggingface's TRL library.

LLM Name	Qwen2 7B Alpacha Merged 16bit
Repository 🤗	https://huggingface.co/dbands/Qwen2-7b-Alpacha-merged_16bit
Base Model(s)	Qwen2 7B Bnb 4bit unsloth/Qwen2-7B-bnb-4bit
Merged Model	Yes
Model Size	7b
Required VRAM	15.2 GB
Updated	2026-08-05
Maintainer	dbands
Model Type	qwen2
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 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
Quantization Type	4bit
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.41.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|PAD_TOKEN\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2 7B Alpacha Merged 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 Alpacha Merged 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	152	0
A1 V002	128K / 15.2 GB	7	0
Mini Pathfinder	128K / 15.2 GB	16	0
A1 V0.0.1	128K / 15.2 GB	8	0
CogitoDistil	128K / 15.2 GB	14	0

Note: green Score (e.g. "73.2") means that the model is better than dbands/Qwen2-7b-Alpacha-merged_16bit.