What are the hardware requirements for Llama3 8B Chips 4bit?

Llama3 8B Chips 4bit requires approximately 5.8 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 Llama3 8B Chips 4bit and how large is it?

Llama3 8B Chips 4bit is developed by thesven, 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 Llama3 8B Chips 4bit?

Llama3 8B Chips 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama3 8B Chips 4bit by thesven — VRAM 5.8GB, 8K context

Name: Llama3 8B Chips 4bit
Author: thesven

Llama3 8B Chips 4bit is an open-source language model by thesven. Features: 8b LLM, VRAM: 5.8GB, Context: 8K, License: apache-2.0, Quantized, LLM Explorer Score: 0.13.

4-bit 4bit Base model:meta-llama/meta-lla... Base model:quantized:meta-llam... Bitsandbytes En Endpoints compatible Llama Quantized Region:us Safetensors Sharded Tensorflow Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/thesven/Llama3-8b-Chips-4bit

Llama3 8B Chips 4bit Parameters and Internals

Model Type

text-generation-inference, transformers, unsloth, llama, trl

Training Details

Methodology:

Unsloth and Huggingface's TRL library

Training Time:

2x faster

LLM Name	Llama3 8B Chips 4bit
Repository 🤗	https://huggingface.co/thesven/Llama3-8b-Chips-4bit
Base Model(s)	Meta Llama 3 8B meta-llama/Meta-Llama-3-8B
Model Size	8b
Required VRAM	5.8 GB
Updated	2026-08-02
Maintainer	thesven
Model Type	llama
Model Files	4.7 GB: 1-of-2 1.1 GB: 2-of-2
Supported Languages	en
Quantization Type	4bit
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.41.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|reserved_special_token_250\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama3 8B Chips 4bit 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 Llama3 8B Chips 4bit

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 thesven/Llama3-8b-Chips-4bit.