What are the hardware requirements for Qwen1.5 1.8B Pharma Final?

Qwen1.5 1.8B Pharma Final requires approximately 3.7 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 Qwen1.5 1.8B Pharma Final and how large is it?

Qwen1.5 1.8B Pharma Final is developed by Kuntal090, a model with 1.8b 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 Qwen1.5 1.8B Pharma Final?

Qwen1.5 1.8B Pharma Final is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen1.5 1.8B Pharma Final by Kuntal090 — VRAM 3.7GB, 32K context

Name: Qwen1.5 1.8B Pharma Final
Author: Kuntal090

Qwen1.5 1.8B Pharma Final is an open-source language model by Kuntal090. Features: 1.8b LLM, VRAM: 3.7GB, Context: 32K, LLM Explorer Score: 0.31.

Arxiv:1910.09700 Endpoints compatible Qwen2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Kuntal090/qwen1.5-1.8b-pharma-final

Qwen1.5 1.8B Pharma Final Parameters and Internals

LLM Name	Qwen1.5 1.8B Pharma Final
Repository 🤗	https://huggingface.co/Kuntal090/qwen1.5-1.8b-pharma-final
Model Size	1.8b
Required VRAM	3.7 GB
Updated	2026-09-17
Maintainer	Kuntal090
Model Type	qwen2
Model Files	3.7 GB
Model Architecture	Qwen2ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.46.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen1.5 1.8B Pharma Final 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

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