What are the hardware requirements for Dragon Yi 6B V0?

Dragon Yi 6B V0 requires approximately 3.7 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Dragon Yi 6B V0 and how large is it?

Dragon Yi 6B V0 is developed by llmware, a model with 6b 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 Dragon Yi 6B V0?

Dragon Yi 6B V0 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Dragon Yi 6B V0 by llmware — VRAM 3.7GB, 4K context

Name: Dragon Yi 6B V0
Author: llmware

Dragon Yi 6B V0 is an open-source language model by llmware. Features: 6b LLM, VRAM: 3.7GB, Context: 4K, License: apache-2.0, Quantized, LLM Explorer Score: 0.1.

Custom code Endpoints compatible Gguf Pytorch Q4 Quantized Region:us Yi

Model Card on HF 🤗: https://huggingface.co/llmware/dragon-yi-6b-v0

Dragon Yi 6B V0 Parameters and Internals

Model Type

Use Cases

Primary Use Cases:

Enterprise automation use cases in knowledge-intensive industries, such as financial services, legal and regulatory industries

Supported Languages

languages (English)

Input Output

Input Format:

The prompt consists of two sub-parts: 1. Text Passage Context, and 2. Specific question or instruction based on the text passage.

Output Format:

returns clear fact-based responses.

Performance Tips:

Best results achieved when inference entries are wrapped as: full_prompt = ': ' + my_prompt + '\n' + ':'

LLM Name	Dragon Yi 6B V0
Repository 🤗	https://huggingface.co/llmware/dragon-yi-6b-v0
Model Name	Yi 6B
Model Creator	01-ai
Model Size	6b
Required VRAM	3.7 GB
Updated	2026-08-06
Maintainer	llmware
Model Type	yi
Model Files	3.7 GB 12.1 GB
GGUF Quantization	Yes
Quantization Type	q4\|gguf\|q4_k
Model Architecture	YiForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.34.0
Tokenizer Class	YiTokenizer
Vocabulary Size	64000
Torch Data Type	bfloat16

Rank the Dragon Yi 6B V0 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 Dragon Yi 6B V0

Model	Likes	Downloads	VRAM
Dragon Yi 6B V0 GGUF	15	579	2 GB
Dragon Yi 6B V0 AWQ	2	4	3 GB

Best Alternatives to Dragon Yi 6B V0

Best Alternatives	Context / RAM	Downloads	Likes
...o Claude Puffin 8.0bpw H8 EXL2	195K / 6.3 GB	4	1
... Spicyboros 3.1 4.0bpw H6 EXL2	4K / 3.5 GB	8	3
... Spicyboros 3.1 3.0bpw H6 EXL2	4K / 2.8 GB	3	1
Yi 6B 200K Airo Claude Puffin	195K / 12.1 GB	8	1
Yi 6B 200K GPTQ	195K / 3.9 GB	9	2
Yi 6B 200K AWQ	195K / 3.9 GB	6	2
Dragon Yi 6B V0 AWQ	4K / 3.9 GB	4	2
Yi 6B Slimorca	4K / 12.1 GB	6	1
01 Ai Yi 6B Openhermes	4K / 12.1 GB	6	4
Yi 6B AWQ	4K / 3.9 GB	22	1