What are the hardware requirements for Llama 3 Chinese 8B Instruct V3?

Llama 3 Chinese 8B Instruct V3 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 Llama 3 Chinese 8B Instruct V3 and how large is it?

Llama 3 Chinese 8B Instruct V3 is developed by hfl, 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 Llama 3 Chinese 8B Instruct V3 perform on standard benchmarks?

Llama 3 Chinese 8B Instruct V3 has the following published scores: MMLU 67.9. Compare against reference models on this page or on the LLM Explorer leaderboards.

Llama 3 Chinese 8B Instruct V3 by hfl — VRAM 16.1GB, 8K context

Name: Llama 3 Chinese 8B Instruct V3
Author: hfl

Llama 3 Chinese 8B Instruct V3 is an open-source language model by hfl. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.17, Arc: 63.4, HellaSwag: 80.5, MMLU: 67.9, GSM8K: 59.2.

Base model:finetune:meta-llama... Base model:meta-llama/meta-lla... Conversational En Endpoints compatible Instruct Llama Region:us Safetensors Sharded Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/hfl/llama-3-chinese-8b-instruct-v3

Llama 3 Chinese 8B Instruct V3 Parameters and Internals

Model Type

instruction (chat) model, conversation, QA

Additional Notes

This model is finetuned based on a mix of three models.

Supported Languages

zh (Chinese), en (English)

LLM Name	Llama 3 Chinese 8B Instruct V3
Repository 🤗	https://huggingface.co/hfl/llama-3-chinese-8b-instruct-v3
Base Model(s)	hfl/Llama-3-Chinese-8B-Instruct hfl/Llama-3-Chinese-8B-Instruct-v2 Meta Llama 3 8B Instruct hfl/Llama-3-Chinese-8B-Instruct hfl/Llama-3-Chinese-8B-Instruct-v2 meta-llama/Meta-Llama-3-8B-Instruct
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-08-07
Maintainer	hfl
Model Type	llama
Instruction-Based	Yes
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
Supported Languages	zh en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.40.0.dev0
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama 3 Chinese 8B Instruct V3 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 Llama 3 Chinese 8B Instruct V3

Model	Likes	Downloads	VRAM
...hinese 8B Instruct V3 Accident	1	39	16 GB
...hinese 8B Instruct V3 Bnb 4bit	1	2	5 GB

Best Alternatives to Llama 3 Chinese 8B Instruct V3

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
Zero Llama 3.1 8B Beta6	1048K / 16.1 GB	7	1

Note: green Score (e.g. "73.2") means that the model is better than hfl/llama-3-chinese-8b-instruct-v3.