What are the hardware requirements for Chinese Llama 2 13B Gguf?

Chinese Llama 2 13B Gguf requires approximately 5 GB of VRAM and supports a context window of 64K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Chinese Llama 2 13B Gguf and how large is it?

Chinese Llama 2 13B Gguf is developed by hfl, a model with 13b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Chinese Llama 2 13B Gguf perform on standard benchmarks?

Chinese Llama 2 13B Gguf has the following published scores: MMLU 50.92. Compare against reference models on this page or on the LLM Explorer leaderboards.

Chinese Llama 2 13B Gguf by hfl — VRAM 5GB, 64K context

Name: Chinese Llama 2 13B Gguf
Author: hfl

Chinese Llama 2 13B Gguf is an open-source language model by hfl. Features: 13b LLM, VRAM: 5GB, Context: 64K, License: apache-2.0, Quantized, LLM Explorer Score: 0.13, Arc: 55.3, HellaSwag: 78.2, MMLU: 50.9, GSM8K: 6.5.

Custom code Endpoints compatible F16 Ggml Gguf Llama Q2 Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/hfl/chinese-llama-2-13b-gguf

Chinese Llama 2 13B Gguf Parameters and Internals

Model Type

Language Model, Quantized Model

Additional Notes

Models with '-im' suffix indicate better performance using an important matrix.

Supported Languages

Chinese (advanced)

LLM Name	Chinese Llama 2 13B Gguf
Repository 🤗	https://huggingface.co/hfl/chinese-llama-2-13b-gguf
Base Model(s)	Chinese Llama 2 13B hfl/chinese-llama-2-13b
Model Size	13b
Required VRAM	5 GB
Updated	2026-05-26
Maintainer	hfl
Model Type	llama
Model Files	26.5 GB 5.0 GB 5.6 GB 6.5 GB 6.5 GB 7.5 GB 8.0 GB 8.0 GB 9.2 GB 9.4 GB 9.4 GB 10.9 GB 10.9 GB 14.1 GB
GGML Quantization	Yes
GGUF Quantization	Yes
Quantization Type	gguf\|ggml\|q2\|q4_k\|q5_k
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	65536
Model Max Length	65536
Transformers Version	4.33.3
Vocabulary Size	55296
Torch Data Type	float16

Rank the Chinese Llama 2 13B Gguf 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

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Note: green Score (e.g. "73.2") means that the model is better than hfl/chinese-llama-2-13b-gguf.