What are the hardware requirements for Llama3 8B Chinese Chat GGUF 8bit?

Llama3 8B Chinese Chat GGUF 8bit requires approximately 8.5 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 Chinese Chat GGUF 8bit and how large is it?

Llama3 8B Chinese Chat GGUF 8bit is developed by shenzhi-wang, 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 Chinese Chat GGUF 8bit?

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

Llama3 8B Chinese Chat GGUF 8bit by shenzhi-wang — VRAM 8.5GB, 8K context

Name: Llama3 8B Chinese Chat GGUF 8bit
Author: shenzhi-wang

Llama3 8B Chinese Chat GGUF 8bit is an open-source language model by shenzhi-wang. Features: 8b LLM, VRAM: 8.5GB, Context: 8K, License: llama3, Quantized, Instruction-Based, LLM Explorer Score: 0.14.

Arxiv:2403.07691 8bit Base model:meta-llama/meta-lla... Base model:quantized:meta-llam... Conversational En Endpoints compatible Gguf Instruct Llama Llama-factory Orpo Q8 Q8 0 Quantized Region:us Zh

Model Card on HF 🤗: https://huggingface.co/shenzhi-wang/Llama3-8B-Chinese-Chat-GGUF-8bit

Llama3 8B Chinese Chat GGUF 8bit Parameters and Internals

Model Type

text-generation

Additional Notes

The model is tuned to reduce issues of 'Chinese questions with English answers' and mixing languages in responses.

Supported Languages

en (proficient), zh (proficient)

Training Details

Data Volume:

100K preference pairs for v2.1

Methodology:

ORPO (Reference-free Monolithic Preference Optimization with Odds Ratio)

Context Length:

8192

Release Notes

Version:

v2.1

Date:

May 6, 2024

Notes:

Compared to v1, the training dataset of v2.1 is 5x larger and exhibits significant enhancements in roleplay, function calling, and math capabilities.

Version:

Date:

Apr. 29, 2024

Notes:

Compared to v1, the training dataset of v2 is 5x larger, and it exhibits significant enhancements in roleplay, function calling, and math capabilities.

LLM Name	Llama3 8B Chinese Chat GGUF 8bit
Repository 🤗	https://huggingface.co/shenzhi-wang/Llama3-8B-Chinese-Chat-GGUF-8bit
Base Model(s)	Meta Llama 3 8B Instruct meta-llama/Meta-Llama-3-8B-Instruct
Model Size	8b
Required VRAM	8.5 GB
Updated	2026-07-25
Maintainer	shenzhi-wang
Model Type	llama
Instruction-Based	Yes
Model Files	8.5 GB
Supported Languages	en zh
GGUF Quantization	Yes
Quantization Type	gguf\|q8\|q8_0\|8bit
Model Architecture	LlamaForCausalLM
License	llama3
Context Length	8192
Model Max Length	8192
Transformers Version	4.40.0
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama3 8B Chinese Chat GGUF 8bit capabilities

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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

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... 8B Instruct Reasoner 1o1 V0.3	128K / 16.1 GB	322	8
...tion Sec 8B Instruct Q8 0 GGUF	128K / 8.5 GB	905	6
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Note: green Score (e.g. "73.2") means that the model is better than shenzhi-wang/Llama3-8B-Chinese-Chat-GGUF-8bit.