What are the hardware requirements for Aaditya Llama3 OpenBioLLM 8B HQQ 2bit Smashed?

Aaditya Llama3 OpenBioLLM 8B HQQ 2bit Smashed requires approximately 4 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Aaditya Llama3 OpenBioLLM 8B HQQ 2bit Smashed and how large is it?

Aaditya Llama3 OpenBioLLM 8B HQQ 2bit Smashed is developed by PrunaAI, a model with 8b 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 Aaditya Llama3 OpenBioLLM 8B HQQ 2bit Smashed?

Aaditya Llama3 OpenBioLLM 8B HQQ 2bit Smashed is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Aaditya Llama3 OpenBioLLM 8B HQQ 2bit Smashed by PrunaAI — VRAM 4GB, 8K context

Name: Aaditya Llama3 OpenBioLLM 8B HQQ 2bit Smashed
Author: PrunaAI

Aaditya Llama3 OpenBioLLM 8B HQQ 2bit Smashed is an open-source language model by PrunaAI. Features: 8b LLM, VRAM: 4GB, Context: 8K, Quantized, LLM Explorer Score: 0.12.

2bit Base model:aaditya/llama3-open... Base model:finetune:aaditya/ll... Llama Pruna-ai Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/PrunaAI/aaditya-Llama3-OpenBioLLM-8B-HQQ-2bit-smashed

Aaditya Llama3 OpenBioLLM 8B HQQ 2bit Smashed Parameters and Internals

Model Type

causal language model

Use Cases

Areas:

research, commercial applications

Input Output

Input Format:

text input

Accepted Modalities:

text

Performance Tips:

Test efficiency gains directly in use-cases.

LLM Name	Aaditya Llama3 OpenBioLLM 8B HQQ 2bit Smashed
Repository 🤗	https://huggingface.co/PrunaAI/aaditya-Llama3-OpenBioLLM-8B-HQQ-2bit-smashed
Base Model(s)	Llama3 OpenBioLLM 8B aaditya/Llama3-OpenBioLLM-8B
Model Size	8b
Required VRAM	4 GB
Updated	2025-09-23
Maintainer	PrunaAI
Model Type	llama
Model Files	4.0 GB
Quantization Type	2bit
Model Architecture	LlamaForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.40.0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|end_of_text\|>
Vocabulary Size	128256
Torch Data Type	float16

Rank the Aaditya Llama3 OpenBioLLM 8B HQQ 2bit Smashed 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 Aaditya Llama3 OpenBioLLM 8B HQQ 2bit Smashed

Best Alternatives	Context / RAM	Downloads	Likes
...B Instruct Gradient 1048K 4bit	1024K / 4.5 GB	10	2
...B Instruct Gradient 1048K 8bit	1024K / 8.6 GB	11	1
...truct Gradient 1048K Bpw6 EXL2	1024K / 6.7 GB	2	2
...truct Gradient 1048K Bpw5 EXL2	1024K / 5.8 GB	5	0
Llama 3 8B Instruct 1048K 4bit	1024K / 4.5 GB	525	25
Llama 3 8B Instruct 1048K 8bit	1024K / 8.6 GB	213	17
... Gradient 1048K 8.0bpw H8 EXL2	1024K / 8.6 GB	2	3
...ct Gradient 1048K Bpw2.25 EXL2	1024K / 3.4 GB	5	1
Llama 3 8B Instruct 262K 2bit	256K / 2.5 GB	11	1
...B Instruct 262k V2 EXL2 5.0bpw	256K / 5.8 GB	5	1

Note: green Score (e.g. "73.2") means that the model is better than PrunaAI/aaditya-Llama3-OpenBioLLM-8B-HQQ-2bit-smashed.