What are the hardware requirements for Qwen3.5 4B TR Finance?

Qwen3.5 4B TR Finance requires approximately 8.4 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.5 4B TR Finance and how large is it?

Qwen3.5 4B TR Finance is developed by emretmrk, 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 Qwen3.5 4B TR Finance?

Qwen3.5 4B TR Finance is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.5 4B TR Finance by emretmrk — VRAM 8.4GB, 256K context

Name: Qwen3.5 4B TR Finance
Author: emretmrk

Qwen3.5 4B TR Finance is an open-source language model by emretmrk. Features: 4b LLM, VRAM: 8.4GB, Context: 256K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.25.

Base model:adapter:qwen/qwen3.... Base model:qwen/qwen3.5-4b Continual-pretraining Conversational Dapt Dataset:dbmaxwell/turkish-fina... Dataset:ituperceptron/turkish-... Dataset:malhajar/alpaca-gpt4-t... Dataset:umarigan/turkish corpu... Dataset:umarigan/turkiye finan... En Endpoints compatible Finance Image-text-to-text Instruct Lora Multimodal Peft Qwen Qwen3.5 Qwen3 5 text Region:us Safetensors Sft Tr Turkish

Model Card on HF 🤗: https://huggingface.co/emretmrk/Qwen3.5-4B-TR-Finance

Qwen3.5 4B TR Finance Parameters and Internals

LLM Name	Qwen3.5 4B TR Finance
Repository 🤗	https://huggingface.co/emretmrk/Qwen3.5-4B-TR-Finance
Base Model(s)	Qwen/Qwen3.5-4B Qwen/Qwen3.5-4B
Model Size	4b
Required VRAM	8.4 GB
Updated	2026-10-30
Maintainer	emretmrk
Model Type	qwen3_5_text
Instruction-Based	Yes
Model Files	8.4 GB
Supported Languages	tr en
Model Architecture	Qwen3_5ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.17.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	248320
Errors	replace

Rank the Qwen3.5 4B TR Finance 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 Qwen3.5 4B TR Finance

Best Alternatives	Context / RAM	Downloads	Likes
NeoHorse 1 4B	256K / 8.4 GB	1771	179
Cisimcik 4B	256K / 8.4 GB	848	1
...ihui NeoHorse 1 4B Abliterated	256K / 8.4 GB	546	4
NeoHorse 1 4B	256K / 8.4 GB	125	1
NeoHorse 1 4B FP8	256K / 4.8 GB	87	1
NeoHorse 1 4B 4bit	256K / 2.4 GB	118	2
Mind Mem 4B	256K / 2.7 GB	22	1

Note: green Score (e.g. "73.2") means that the model is better than emretmrk/Qwen3.5-4B-TR-Finance.