What are the hardware requirements for Yi 34B 200K Aezakmi Raw Toxic 2702 4.65bpw EXL2?

Yi 34B 200K Aezakmi Raw Toxic 2702 4.65bpw EXL2 requires approximately 20.8 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 34B 200K Aezakmi Raw Toxic 2702 4.65bpw EXL2 and how large is it?

Yi 34B 200K Aezakmi Raw Toxic 2702 4.65bpw EXL2 is developed by adamo1139, a model with 34b 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 Yi 34B 200K Aezakmi Raw Toxic 2702 4.65bpw EXL2?

Yi 34B 200K Aezakmi Raw Toxic 2702 4.65bpw EXL2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Yi 34B 200K Aezakmi Raw Toxic 2702 4.65bpw EXL2 by adamo1139 — VRAM 20.8GB, 195K context

Name: Yi 34B 200K Aezakmi Raw Toxic 2702 4.65bpw EXL2
Author: adamo1139

Yi 34B 200K Aezakmi Raw Toxic 2702 4.65bpw EXL2 is an open-source language model by adamo1139. Features: 34b LLM, VRAM: 20.8GB, Context: 195K, License: apache-2.0, Quantized, LLM Explorer Score: 0.11.

Endpoints compatible Exl2 Llama Quantized Region:us Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/adamo1139/yi-34b-200k-aezakmi-raw-toxic-2702-4.65bpw-exl2

Yi 34B 200K Aezakmi Raw Toxic 2702 4.65bpw EXL2 Parameters and Internals

Model Type

chat model

Use Cases

Areas:

chat

Primary Use Cases:

cozy free chatbot

Additional Notes

Model has a tendency to talk about stocks a lot, resembling chat on the WSB forum.

Training Details

Data Sources:

RAWrr v2 dataset, AEZAKMI v3-3 dataset, unalignment/toxic-dpo-v0.1, WSB dataset

Methodology:

Fine-tuned via DPO, then fine-tuned on AEZAKMI v3-3 via SFT, and DPO tuned on unalignment/toxic-dpo-v0.1.

Context Length:

200000

Training Time:

40-50 hours

Input Output

Input Format:

ChatML

Performance Tips:

Temp setting around 0.3-0.5 works well. Temp at 1.2 is unstable.

LLM Name	Yi 34B 200K Aezakmi Raw Toxic 2702 4.65bpw EXL2
Repository 🤗	https://huggingface.co/adamo1139/yi-34b-200k-aezakmi-raw-toxic-2702-4.65bpw-exl2
Model Size	34b
Required VRAM	20.8 GB
Updated	2026-05-26
Maintainer	adamo1139
Model Type	llama
Model Files	4.3 GB: 1-of-5 4.2 GB: 2-of-5 4.2 GB: 3-of-5 4.3 GB: 4-of-5 3.8 GB: 5-of-5
Quantization Type	exl2
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	200000
Model Max Length	200000
Transformers Version	4.36.2
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	64000
Torch Data Type	float16

Rank the Yi 34B 200K Aezakmi Raw Toxic 2702 4.65bpw EXL2 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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34B Beta 5.0bpw H6 EXL2	195K / 22.3 GB	4	1
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Note: green Score (e.g. "73.2") means that the model is better than adamo1139/yi-34b-200k-aezakmi-raw-toxic-2702-4.65bpw-exl2.