What are the hardware requirements for Open Llama 13B Open Instruct 8bit?

Open Llama 13B Open Instruct 8bit requires approximately 13.4 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 Open Llama 13B Open Instruct 8bit and how large is it?

Open Llama 13B Open Instruct 8bit is developed by rahuldshetty, 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 Open Llama 13B Open Instruct 8bit?

Open Llama 13B Open Instruct 8bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Open Llama 13B Open Instruct 8bit by rahuldshetty — VRAM 13.4GB, 2K context

Name: Open Llama 13B Open Instruct 8bit
Author: rahuldshetty

Open Llama 13B Open Instruct 8bit is an open-source language model by rahuldshetty. Features: 13b LLM, VRAM: 13.4GB, Context: 2K, License: cc, Quantized, Instruction-Based, LLM Explorer Score: 0.07.

8-bit 8bit Dataset:vmware/open-instruct-v... En Endpoints compatible Instruct Llama Pytorch Quantized Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/rahuldshetty/open-llama-13b-open-instruct-8bit

Open Llama 13B Open Instruct 8bit Parameters and Internals

Model Type

text-generation

Additional Notes

This is an 8bit quantized version of the original 13B parameters model. Fast tokenizer may result in incorrect encoding.

Training Details

Data Sources:

VMware/open-instruct-v1-oasst-dolly-hhrlhf

Methodology:

Instruction-tuning

Input Output

Input Format:

Prompt template with instruction and response.

Accepted Modalities:

text

Output Format:

Text response

Performance Tips:

Set `use_fast=False` for correct encoding.

LLM Name	Open Llama 13B Open Instruct 8bit
Repository 🤗	https://huggingface.co/rahuldshetty/open-llama-13b-open-instruct-8bit
Base Model(s)	Open Llama 13B Open Instruct VMware/open-llama-13b-open-instruct
Model Size	13b
Required VRAM	13.4 GB
Updated	2026-07-10
Maintainer	rahuldshetty
Model Type	llama
Instruction-Based	Yes
Model Files	10.0 GB: 1-of-2 3.4 GB: 2-of-2
Supported Languages	en
Quantization Type	8bit
Model Architecture	LlamaForCausalLM
License	cc
Context Length	2048
Model Max Length	2048
Transformers Version	4.31.0.dev0
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Open Llama 13B Open Instruct 8bit 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 Open Llama 13B Open Instruct 8bit

Best Alternatives	Context / RAM	Downloads	Likes
CodeLlama 13B Instruct Fp16	16K / 26 GB	137	28
...Llama 13B Instruct Hf 4bit MLX	16K / 7.8 GB	113	3
...13B Instruct Nf4 Fp16 Upscaled	16K / 26 GB	6	0
Model 007 13b V2	4K / 26 GB	57	4
...B Fast Instruct 4bit Quantized	4K / 7.8 GB	6	0
...igogne2 Enno 13B Sft Lora 4bit	4K / 26 GB	786	0
Xwin LM 13B V0.2 EXL2	4K / 5.2 GB	12	3
Mythalion 13B 2.30bpw H4 EXL2	4K / 4.1 GB	4	3
...lion Kimiko V2.6.05bpw H8 EXL2	4K / 10.1 GB	5	1
Finance LLM 13B 6.0bpw H6 EXL2	2K / 10 GB	5	1

Note: green Score (e.g. "73.2") means that the model is better than rahuldshetty/open-llama-13b-open-instruct-8bit.