What are the hardware requirements for QwenModelStock 1.8B?

QwenModelStock 1.8B requires approximately 7.1 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 QwenModelStock 1.8B and how large is it?

QwenModelStock 1.8B is developed by hotmailuser, a model with 1b 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 QwenModelStock 1.8B?

QwenModelStock 1.8B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

QwenModelStock 1.8B by hotmailuser — VRAM 7.1GB, 128K context

Name: QwenModelStock 1.8B
Author: hotmailuser

QwenModelStock 1.8B is an open-source language model by hotmailuser. Features: 1b LLM, VRAM: 7.1GB, Context: 128K, License: apache-2.0, Merged, LLM Explorer Score: 0.21.

Merged Model Arxiv:2403.19522 Base model:matteokhan/fusion Base model:matteokhan/merging ... Base model:sakalti/saba1.5-1.5... Base model:sakalti/saba1.5-pro Base model:youlln/ece-prymmal-... Base model:youlln/ece-prymmal-... Conversational Endpoints compatible Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/hotmailuser/QwenModelStock-1.8B

QwenModelStock 1.8B Parameters and Internals

LLM Name	QwenModelStock 1.8B
Repository 🤗	https://huggingface.co/hotmailuser/QwenModelStock-1.8B
Base Model(s)	Merging LLM Sakalti/Saba1.5-Pro ECE PRYMMAL YL 1B SLERP V2 ECE PRYMMAL YL 1B SLERP V1 Fusion Sakalti/Saba1.5-1.5B goulue5/merging_LLM Sakalti/Saba1.5-Pro Youlln/ECE-PRYMMAL-YL-1B-SLERP-V2 Youlln/ECE-PRYMMAL-YL-1B-SLERP-V1 goulue5/fusion Sakalti/Saba1.5-1.5B
Merged Model	Yes
Model Size	1b
Required VRAM	7.1 GB
Updated	2026-06-08
Maintainer	hotmailuser
Model Type	qwen2
Model Files	5.0 GB: 1-of-2 2.1 GB: 2-of-2
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.46.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	float32
Errors	replace

Rank the QwenModelStock 1.8B 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 QwenModelStock 1.8B

Best Alternatives	Context / RAM	Downloads
MiniCPM5 1B Qwenified	128K / 4.3 GB	208
QwenStock 1.7B	128K / 3.5 GB	6
ECE PRYMMAL YL 1B SLERP V1	128K / 6.2 GB	6
ECE PRYMMAL YL 1B SLERP V2	128K / 6.2 GB	5
ECE PRYMMAL YL 1B SLERP V3	128K / 6.2 GB	7
ECE PRYMMAL YL 1B SLERP V4	128K / 6.2 GB	7
ECE PRYMMAL YL 1B SLERP V5	128K / 6.2 GB	7
Qwen 1B Continued V2.1	128K / 2.5 GB	10
Qwen 1B Continued	128K / 2.5 GB	39
Qwen 1B Continued V2.2	128K / 2.5 GB	30

Note: green Score (e.g. "73.2") means that the model is better than hotmailuser/QwenModelStock-1.8B.