What are the hardware requirements for Yi 6B 200K AEZAKMI V2?

Yi 6B 200K AEZAKMI V2 requires approximately 12.1 GB of VRAM and supports a context window of 195K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Yi 6B 200K AEZAKMI V2 and how large is it?

Yi 6B 200K AEZAKMI V2 is developed by adamo1139, a model with 6b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Yi 6B 200K AEZAKMI V2 perform on standard benchmarks?

Yi 6B 200K AEZAKMI V2 has the following published scores: MMLU 63. Compare against reference models on this page or on the LLM Explorer leaderboards.

Yi 6B 200K AEZAKMI V2 by adamo1139 — VRAM 12.1GB, 195K context

Name: Yi 6B 200K AEZAKMI V2
Author: adamo1139

Yi 6B 200K AEZAKMI V2 is an open-source language model by adamo1139. Features: 6b LLM, VRAM: 12.1GB, Context: 195K, License: apache-2.0, LLM Explorer Score: 0.13, Arc: 53, HellaSwag: 71.2, MMLU: 63, GSM8K: 25.1.

Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/adamo1139/Yi-6B-200K-AEZAKMI-v2

Yi 6B 200K AEZAKMI V2 Parameters and Internals

Model Type

text generation, chatbot

Use Cases

Areas:

research, chatbot development

Applications:

cozy free chatbot

Primary Use Cases:

Chatbot conversations

Limitations:

Not good at math, riddles or being extremely smart., Repetition issues without penalty settings., Handling of long system messages.

Considerations:

Using the recommended prompt format can improve performance.

Additional Notes

Base Yi-6B model is known to have refusals which may affect this model.

Training Details

Data Sources:

AEZAKMI v2 dataset

Methodology:

Fine-tuned

Context Length:

200000

Model Architecture:

llamafied

Input Output

Input Format:

ChatML format

Accepted Modalities:

text

Output Format:

text

Performance Tips:

Set repetition penalty to 1.05 and use temperature 1.2 to avoid repetition and improve performance.

LLM Name	Yi 6B 200K AEZAKMI V2
Repository 🤗	https://huggingface.co/adamo1139/Yi-6B-200K-AEZAKMI-v2
Model Size	6b
Required VRAM	12.1 GB
Updated	2026-06-27
Maintainer	adamo1139
Model Type	llama
Model Files	4.9 GB: 1-of-3 5.0 GB: 2-of-3 2.2 GB: 3-of-3
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	200000
Model Max Length	200000
Transformers Version	4.35.0
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	64000
Torch Data Type	float16

Rank the Yi 6B 200K AEZAKMI V2 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 Yi 6B 200K AEZAKMI V2

Best Alternatives	Context / RAM	Downloads	Likes
Yi 6B 200K	195K / 12.1 GB	16530	172
Yi 6B 200K DPO	195K / 12.1 GB	105	0
Wukong Yi 6B 200K	195K / 12.1 GB	4	1
Barcenas 6B 200K	195K / 12.1 GB	93	2
Yi 6B 200K Llamafied	195K / 12.1 GB	36	11
Yi 6B 200K Llama	195K / 12.1 GB	5	5
Llama 3.2 6B AlgoCode	128K / 12.7 GB	7	1
Chatglm2 6B Port Llama	32K / 12.5 GB	5	4
Miqu 6B Truthy	31K / 11.3 GB	76	1
Llama 3 6B V0.1	8K / 12.6 GB	15	14

Note: green Score (e.g. "73.2") means that the model is better than adamo1139/Yi-6B-200K-AEZAKMI-v2.