What are the hardware requirements for Yi 34B 200K Rawrr1 LORA DPO Experimental R2?

Yi 34B 200K Rawrr1 LORA DPO Experimental R2 requires approximately 0.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Yi 34B 200K Rawrr1 LORA DPO Experimental R2 and how large is it?

Yi 34B 200K Rawrr1 LORA DPO Experimental R2 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 Rawrr1 LORA DPO Experimental R2?

Yi 34B 200K Rawrr1 LORA DPO Experimental R2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Yi 34B 200K Rawrr1 LORA DPO Experimental R2 by adamo1139 — VRAM 0.1GB

Name: Yi 34B 200K Rawrr1 LORA DPO Experimental R2
Author: adamo1139

Yi 34B 200K Rawrr1 LORA DPO Experimental R2 is an open-source language model by adamo1139. Features: 34b LLM, VRAM: 0.1GB, LLM Explorer Score: 0.1.

4-bit Adapter Bitsandbytes Finetuned Generated from trainer Llama Lora Peft Region:us

Model Card on HF 🤗: https://huggingface.co/adamo1139/Yi-34B-200K-rawrr1-LORA-DPO-experimental-r2

Yi 34B 200K Rawrr1 LORA DPO Experimental R2 Parameters and Internals

Model Type

LlamaForCausalLM

Use Cases

Areas:

Research, Commercial applications

Primary Use Cases:

Instruct training, Generating itineraries

Limitations:

Sequence length limitation of 200 tokens

Additional Notes

Model is designed to run efficient fine-tuning with reduced VRAM requirements using quantization techniques like 'bitsandbytes'.

Training Details

Data Sources:

/run/media/.../axolotl/datasets/rawrr_v1/

Methodology:

Trained via DPO technique

Context Length:

200

Hardware Used:

RTX 3090 Ti

Model Architecture:

Llama

LLM Name	Yi 34B 200K Rawrr1 LORA DPO Experimental R2
Repository 🤗	https://huggingface.co/adamo1139/Yi-34B-200K-rawrr1-LORA-DPO-experimental-r2
Model Size	34b
Required VRAM	0.1 GB
Updated	2026-07-27
Maintainer	adamo1139
Model Files	0.1 GB
Model Architecture	Adapter
Model Max Length	200000
Is Biased	none
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	k_proj\|down_proj\|up_proj\|v_proj\|q_proj\|gate_proj\|o_proj
LoRA Alpha	8
LoRA Dropout	0.05
R Param	4

Rank the Yi 34B 200K Rawrr1 LORA DPO Experimental R2 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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30B 2e	0K / 0 GB	5	0
...34B 200K AEZAKMI RAW 2301 LoRA	0K / 0.5 GB	0	1
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34B Beta Onc V1	0K / 0 GB	4	1
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...pmoney 34B 200K Chat Evaluator	0K / 2 GB	0	35
...awrr V1 Run1 Experimental LoRA	0K / 0.5 GB	6	1
Yi 34B 200K MiniOrca Adapter	0K / 0.1 GB	0	1
Yi 34B Alpaca Cot Lora	0K / 0.1 GB	0	15

Note: green Score (e.g. "73.2") means that the model is better than adamo1139/Yi-34B-200K-rawrr1-LORA-DPO-experimental-r2.