What are the hardware requirements for Jamba 1.9B Fine Tune?

Jamba 1.9B Fine Tune requires approximately 3.8 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Jamba 1.9B Fine Tune and how large is it?

Jamba 1.9B Fine Tune is developed by neeleshg23, a model with 1.9b 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 Jamba 1.9B Fine Tune?

Jamba 1.9B Fine Tune is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Jamba 1.9B Fine Tune by neeleshg23 — VRAM 3.8GB, 2K context

Name: Jamba 1.9B Fine Tune
Author: neeleshg23

Jamba 1.9B Fine Tune is an open-source language model by neeleshg23. Features: 1.9b LLM, VRAM: 3.8GB, Context: 2K, LLM Explorer Score: 0.15.

Base model:finetune:neeleshg23... Base model:neeleshg23/jamba-1.... Endpoints compatible Generated from trainer Jamba Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/neeleshg23/jamba-1.9b-fine-tune

Jamba 1.9B Fine Tune Parameters and Internals

LLM Name	Jamba 1.9B Fine Tune
Repository 🤗	https://huggingface.co/neeleshg23/jamba-1.9b-fine-tune
Base Model(s)	neeleshg23/jamba-1.9b-1119 neeleshg23/jamba-1.9b-1119
Model Size	1.9b
Required VRAM	3.8 GB
Updated	2026-07-20
Maintainer	neeleshg23
Model Type	jamba
Model Files	3.8 GB 0.0 GB
Model Architecture	JambaForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	4.46.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|end_of_text\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Jamba 1.9B Fine Tune 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 Jamba 1.9B Fine Tune

Best Alternatives	Context / RAM	Downloads
Jamba 1.9B Fine Tune Alpaca	2K / 3.8 GB	14
Jamba 1.9B 1119	2K / 3.8 GB	7
Jamba 1.9B 9	2K / 3.8 GB	8
Jamba 1.9B 7	2K / 3.8 GB	6
Jamba 1.9B 6	2K / 3.8 GB	5
Jamba 1.9B 4	2K / 3.8 GB	7

Note: green Score (e.g. "73.2") means that the model is better than neeleshg23/jamba-1.9b-fine-tune.