What are the hardware requirements for Llama3 70B Chinese Chat GGUF 4bit?

Llama3 70B Chinese Chat GGUF 4bit requires approximately 40 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 70B Chinese Chat GGUF 4bit and how large is it?

Llama3 70B Chinese Chat GGUF 4bit is developed by shenzhi-wang, a model with 70b 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 70B Chinese Chat GGUF 4bit?

Llama3 70B Chinese Chat GGUF 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama3 70B Chinese Chat GGUF 4bit by shenzhi-wang — VRAM 40GB, 8K context

Name: Llama3 70B Chinese Chat GGUF 4bit
Author: shenzhi-wang

Llama3 70B Chinese Chat GGUF 4bit is an open-source language model by shenzhi-wang. Features: 70b LLM, VRAM: 40GB, Context: 8K, License: llama3, Quantized, Instruction-Based, LLM Explorer Score: 0.12.

Arxiv:2306.09212 Arxiv:2403.07691 4bit Base model:meta-llama/meta-lla... Base model:quantized:meta-llam... Conversational En Endpoints compatible Gguf Instruct Llama Llama-factory Orpo Q4 Quantized Region:us Zh

Model Card on HF 🤗: https://huggingface.co/shenzhi-wang/Llama3-70B-Chinese-Chat-GGUF-4bit

Llama3 70B Chinese Chat GGUF 4bit Parameters and Internals

Model Type

text-generation

Additional Notes

The model is not fine-tuned for identity-related queries to enhance performance.

Supported Languages

en (high proficiency), zh (superior proficiency)

Training Details

Data Volume:

over 100K preference pairs

Methodology:

Instruction tuning with ORPO

Context Length:

8192

Release Notes

Date:

May 9, 2024

Notes:

Introduction of Llama3-70B-Chinese-Chat, fine-tuned on a mixed Chinese-English dataset of ~100K preference pairs.

LLM Name	Llama3 70B Chinese Chat GGUF 4bit
Repository 🤗	https://huggingface.co/shenzhi-wang/Llama3-70B-Chinese-Chat-GGUF-4bit
Base Model(s)	Meta Llama 3 70B Instruct meta-llama/Meta-Llama-3-70B-Instruct
Model Size	70b
Required VRAM	40 GB
Updated	2026-08-05
Maintainer	shenzhi-wang
Model Type	llama
Instruction-Based	Yes
Model Files	40.0 GB
Supported Languages	en zh
GGUF Quantization	Yes
Quantization Type	gguf\|q4\|4bit
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 70B Chinese Chat GGUF 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 70B Chinese Chat GGUF 4bit

Best Alternatives	Context / RAM	Downloads	Likes
Grok Oss Revenant 70B	128K / 141.9 GB	8503	2
Llama 3.3 70B Instruct GGUF	128K / 15.9 GB	23398	124
Reflection Llama 3.1 70B Bf16	128K / 141.9 GB	283	6
Meta Llama 3 70B Instruct	8K / 40.3 GB	6	1
CodeLlama 70B Instruct Hf GGUF	4K / 25.5 GB	487	2
...B Instruct Gradient 1048K 8bit	1024K / 75 GB	41	5
...B Instruct Gradient 1048K 4bit	1024K / 39.7 GB	25	3
...B Instruct Gradient 1048K 2bit	1024K / 21.9 GB	25	2
...0B Instruct Gradient 262K 4bit	256K / 39.7 GB	25	3
...0B Instruct Gradient 262K 8bit	256K / 75 GB	26	2

Note: green Score (e.g. "73.2") means that the model is better than shenzhi-wang/Llama3-70B-Chinese-Chat-GGUF-4bit.