What are the hardware requirements for Llama13b 32K Illumeet Finetune?

Llama13b 32K Illumeet Finetune requires approximately 26 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 Llama13b 32K Illumeet Finetune and how large is it?

Llama13b 32K Illumeet Finetune is developed by ribhu, a model with 13b 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 Llama13b 32K Illumeet Finetune?

Llama13b 32K Illumeet Finetune is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama13b 32K Illumeet Finetune by ribhu — VRAM 26GB, 32K context

Name: Llama13b 32K Illumeet Finetune
Author: ribhu

Llama13b 32K Illumeet Finetune is an open-source language model by ribhu. Features: 13b LLM, VRAM: 26GB, Context: 32K, License: apache-2.0, Quantized, Fine-Tuned, LLM Explorer Score: 0.11.

4bit Base model:finetune:unsloth/ll... Base model:unsloth/llama-2-13b... En Endpoints compatible Finetuned Llama Quantized Region:us Safetensors Sft Sharded Tensorflow Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/ribhu/llama13b-32k-illumeet-finetune

Llama13b 32K Illumeet Finetune Parameters and Internals

LLM Name	Llama13b 32K Illumeet Finetune
Repository 🤗	https://huggingface.co/ribhu/llama13b-32k-illumeet-finetune
Base Model(s)	Llama 2 13B Bnb 4bit unsloth/llama-2-13b-bnb-4bit
Model Size	13b
Required VRAM	26 GB
Updated	2026-04-26
Maintainer	ribhu
Model Type	llama
Model Files	5.0 GB: 1-of-6 5.0 GB: 2-of-6 5.0 GB: 3-of-6 4.9 GB: 4-of-6 4.9 GB: 5-of-6 1.2 GB: 6-of-6
Supported Languages	en
Quantization Type	4bit
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.37.2
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Llama13b 32K Illumeet Finetune capabilities

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Best Alternatives to Llama13b 32K Illumeet Finetune

Best Alternatives	Context / RAM	Downloads	Likes
...Maid V3 13B 32K 8.0bpw H8 EXL2	32K / 13.2 GB	8	1
...Maid V3 13B 32K 6.0bpw H6 EXL2	32K / 10 GB	5	1
WhiteRabbitNeo 13B V1	16K / 26 GB	3146	453
CodeLlama 13B Python Fp16	16K / 26 GB	121	25
CodeLlama 13B Fp16	16K / 26 GB	9	67
CodeLlama 13B Instruct Fp16	16K / 26 GB	137	28
Codellama 13B Bnb 4bit	16K / 7.2 GB	129	5
...Llama 13B Instruct Hf 4bit MLX	16K / 7.8 GB	113	3
WhiteRabbitNeo 13B V1 4bit Mlx	16K / 7.8 GB	147	2
Trinity 13B	16K / 26 GB	14	15

Note: green Score (e.g. "73.2") means that the model is better than ribhu/llama13b-32k-illumeet-finetune.