What are the hardware requirements for Jamba2 3B Turkish?

Jamba2 3B Turkish requires approximately 6.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Jamba2 3B Turkish and how large is it?

Jamba2 3B Turkish is developed by serda-dev, a model with 3b 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 Jamba2 3B Turkish?

Jamba2 3B Turkish is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Jamba2 3B Turkish by serda-dev — VRAM 6.1GB

Name: Jamba2 3B Turkish
Author: serda-dev

Jamba2 3B Turkish is an open-source language model by serda-dev. Features: 3b LLM, VRAM: 6.1GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.24.

Base model:finetune:serda-dev/... Base model:serda-dev/jamba2-3b... Continued-pretraining Conversational Cpt Endpoints compatible Instruct Jamba Lora Mamba Qlora Region:us Safetensors Sft Sharded Ssm Tensorflow Tr Turkish

Model Card on HF 🤗: https://huggingface.co/serda-dev/Jamba2-3B-Turkish

Jamba2 3B Turkish Parameters and Internals

LLM Name	Jamba2 3B Turkish
Repository 🤗	https://huggingface.co/serda-dev/Jamba2-3B-Turkish
Base Model(s)	Jamba2 3B Turkish serda-dev/Jamba2-3B-Turkish
Model Size	3b
Required VRAM	6.1 GB
Updated	2026-08-26
Maintainer	serda-dev
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 1.1 GB: 2-of-2
Supported Languages	tr
Model Architecture	AutoModelForCausalLM
License	apache-2.0
Is Biased	none
Tokenizer Class	LlamaTokenizerFast
Padding Token	<\|pad\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	o_proj\|down_proj\|q_proj\|k_proj\|up_proj\|v_proj\|gate_proj
LoRA Alpha	32
LoRA Dropout	0.05
R Param	16

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
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Multi-Language Support and Translation

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