What are the hardware requirements for Meta Llama 3 8Bee?

Meta Llama 3 8Bee requires approximately 16.1 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 Meta Llama 3 8Bee and how large is it?

Meta Llama 3 8Bee is developed by BEE-spoke-data, a model with 8b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Meta Llama 3 8Bee perform on standard benchmarks?

Meta Llama 3 8Bee has the following published scores: MMLU 66.01. Compare against reference models on this page or on the LLM Explorer leaderboards.

Meta Llama 3 8Bee by BEE-spoke-data — VRAM 16.1GB, 8K context

Name: Meta Llama 3 8Bee
Author: BEE-spoke-data

Meta Llama 3 8Bee is an open-source language model by BEE-spoke-data. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: llama3, LLM Explorer Score: 0.18, Arc: 58.6, HellaSwag: 81.5, MMLU: 66, GSM8K: 39.9.

Axolotl Base model:finetune:meta-llama... Base model:meta-llama/meta-lla... Dataset:bee-spoke-data/bees-in... En Endpoints compatible Generated from trainer Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/BEE-spoke-data/Meta-Llama-3-8Bee

Meta Llama 3 8Bee Parameters and Internals

Model Type

LlamaForCausalLM

Use Cases

Primary Use Cases:

unveiling knowledge about bees and apiary practice

Limitations:

needs further tuning to be used in 'instruct' type settings

Training Details

Data Sources:

BEE-spoke-data/bees-internal

Methodology:

fine-tuning

Context Length:

8192

LLM Name	Meta Llama 3 8Bee
Repository 🤗	https://huggingface.co/BEE-spoke-data/Meta-Llama-3-8Bee
Base Model(s)	Meta Llama 3 8B meta-llama/Meta-Llama-3-8B
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-08-09
Maintainer	BEE-spoke-data
Model Type	llama
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4 0.0 GB
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	llama3
Context Length	8192
Model Max Length	8192
Transformers Version	4.40.0.dev0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|end_of_text\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Meta Llama 3 8Bee 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

Quantized Models of the Meta Llama 3 8Bee

Model	Likes	Downloads	VRAM
Meta Llama 3 8B Q4	1	22	4 GB

Best Alternatives to Meta Llama 3 8Bee

Best Alternatives	Context / RAM	Downloads	Likes
...otron 8B UltraLong 4M Instruct	4192K / 32.1 GB	1135	125
UltraLong Thinking	4192K / 16.1 GB	2	3
...a 3.1 8B UltraLong 4M Instruct	4192K / 32.1 GB	176	24
...a 3.1 8B UltraLong 2M Instruct	2096K / 32.1 GB	875	9
...otron 8B UltraLong 2M Instruct	2096K / 32.1 GB	124	18
Cthulhu 8B V1.4	1048K / 16.1 GB	10	10
...raLong 1M Instruct Abliterated	1048K / 32.1 GB	4	9
...a 3.1 8B UltraLong 1M Instruct	1048K / 32.1 GB	1387	29
...otron 8B UltraLong 1M Instruct	1048K / 32.1 GB	702	59
...xis Bookwriter Llama3.1 8B Sft	1048K / 16.1 GB	25	4

Note: green Score (e.g. "73.2") means that the model is better than BEE-spoke-data/Meta-Llama-3-8Bee.