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

Dragon Yi 6B V0 AWQ requires approximately 3.9 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 AWQ and how large is it?

Dragon Yi 6B V0 AWQ is developed by TheBloke, 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 AWQ?

Dragon Yi 6B V0 AWQ 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 AWQ by TheBloke — VRAM 3.9GB, 4K context

Name: Dragon Yi 6B V0 AWQ
Author: TheBloke

Dragon Yi 6B V0 AWQ is an open-source language model by TheBloke. Features: 6b LLM, VRAM: 3.9GB, Context: 4K, License: other, Quantized, LLM Explorer Score: 0.09.

4-bit Awq Base model:llmware/dragon-yi-6... Base model:quantized:llmware/d... Custom code Quantized Region:us Safetensors Yi

Model Card on HF 🤗: https://huggingface.co/TheBloke/dragon-yi-6B-v0-AWQ

Dragon Yi 6B V0 AWQ Parameters and Internals

Model Type

Yi, text generation

Use Cases

Areas:

enterprise automation, financial services, legal and regulatory industries

Applications:

question-answering, key-value extraction, basic summarization

Primary Use Cases:

fact-based question-answering over complex business and legal documents

Additional Notes

The model has been quantized using AWQ method, supporting faster inference.

Supported Languages

English (native)

Training Details

Data Sources:

wikitext

Methodology:

RAG-instruct trained

Context Length:

4096

Hardware Used:

Massed Compute hardware

Input Output

Input Format:

Description / Question format with ':' delimiters

Accepted Modalities:

text

Output Format:

fact-based response

LLM Name	Dragon Yi 6B V0 AWQ
Repository 🤗	https://huggingface.co/TheBloke/dragon-yi-6B-v0-AWQ
Model Name	Dragon Yi 6B v0
Model Creator	llmware
Base Model(s)	Dragon Yi 6B V0 llmware/dragon-yi-6b-v0
Model Size	6b
Required VRAM	3.9 GB
Updated	2026-07-27
Maintainer	TheBloke
Model Type	yi
Model Files	3.9 GB
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	YiForCausalLM
License	other
Context Length	4096
Model Max Length	4096
Transformers Version	4.35.0
Tokenizer Class	YiTokenizer
Vocabulary Size	64000
Torch Data Type	bfloat16

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

Best Alternatives	Context / RAM	Downloads	Likes
Yi 6B 200K AWQ	195K / 3.9 GB	6	2
Yi 6B AWQ	4K / 3.9 GB	22	1
Yi 6B AWQ	4K / 3.9 GB	5	0
...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
Dragon Yi 6B V0	4K / 3.7 GB	259	60
Yi 6B Slimorca	4K / 12.1 GB	6	1

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/dragon-yi-6B-v0-AWQ.