What are the hardware requirements for Duloxetine 4B V1?

Duloxetine 4B V1 requires approximately 7.9 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 Duloxetine 4B V1 and how large is it?

Duloxetine 4B V1 is developed by Fizzarolli, a model with 4b 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 Duloxetine 4B V1?

Duloxetine 4B V1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Duloxetine 4B V1 by Fizzarolli — VRAM 7.9GB, 32K context

Name: Duloxetine 4B V1
Author: Fizzarolli

Duloxetine 4B V1 is an open-source language model by Fizzarolli. Features: 4b LLM, VRAM: 7.9GB, Context: 32K, License: other, Instruction-Based, LLM Explorer Score: 0.13.

Axolotl Conversational Dataset:abacusai/systemchat Dataset:fizzarolli/wattpad Dataset:grimulkan/theory-of-mi... Dataset:huggingfaceh4/no robot... Dataset:minervaai/aesir-previe... Dataset:sao10k/claude-3-opus-i... En Endpoints compatible Instruct Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Fizzarolli/duloxetine-4b-v1

Duloxetine 4B V1 Parameters and Internals

Model Type

text generation, roleplaying

Use Cases

Primary Use Cases:

fast roleplay

Supported Languages

language_codes (en), proficiency (unknown)

Input Output

Input Format:

chatml

LLM Name	Duloxetine 4B V1
Repository 🤗	https://huggingface.co/Fizzarolli/duloxetine-4b-v1
Model Size	4b
Required VRAM	7.9 GB
Updated	2026-08-04
Maintainer	Fizzarolli
Model Type	qwen2
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 2.9 GB: 2-of-2
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	other
Context Length	32768
Model Max Length	32768
Transformers Version	4.41.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Duloxetine 4B V1 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 Duloxetine 4B V1

Best Alternatives	Context / RAM	Downloads	Likes
Qwarkstar 4B Instruct Preview	32K / 9 GB	2	2
Qwarkstar 4B Instruct	32K / 9 GB	30	1
Sailor 4B Chat	32K / 7.9 GB	155	2
Nusantara 4B Indo Chat	32K / 7.9 GB	59	2
Qwen1.5 4B Chat Paraph	32K / 7.9 GB	7	0

Note: green Score (e.g. "73.2") means that the model is better than Fizzarolli/duloxetine-4b-v1.