What are the hardware requirements for Yi 34B 200K MAR2024 EXL2 4bpw?

Yi 34B 200K MAR2024 EXL2 4bpw requires approximately 18 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 MAR2024 EXL2 4bpw and how large is it?

Yi 34B 200K MAR2024 EXL2 4bpw is developed by jmoney54378256438905, 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 MAR2024 EXL2 4bpw?

Yi 34B 200K MAR2024 EXL2 4bpw is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Yi 34B 200K MAR2024 EXL2 4bpw by jmoney54378256438905 — VRAM 18GB, 195K context

Name: Yi 34B 200K MAR2024 EXL2 4bpw
Author: jmoney54378256438905

Yi 34B 200K MAR2024 EXL2 4bpw is an open-source language model by jmoney54378256438905. Features: 34b LLM, VRAM: 18GB, Context: 195K, License: other, Quantized, LLM Explorer Score: 0.11.

Arxiv:2311.16502 Arxiv:2401.11944 Arxiv:2403.04652 4-bit Autotrain compatible Endpoints compatible Exl2 Llama Pytorch Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/jmoney54378256438905/Yi-34B-200K-MAR2024-exl2-4bpw

Yi 34B 200K MAR2024 EXL2 4bpw Parameters and Internals

Model Type

text generation, bilingual (English/Chinese)

Additional Notes

Yi models are designed as open-source bilingual large language models, specifically targeted for both personal/academic and commercial usage.

Training Details

Model Architecture:

Transformer

Release Notes

Version:

2.1

Date:

2023-11-23

Notes:

The Yi Series Models Community License Agreement is updated to v2.1.

LLM Name	Yi 34B 200K MAR2024 EXL2 4bpw
Repository 🤗	https://huggingface.co/jmoney54378256438905/Yi-34B-200K-MAR2024-exl2-4bpw
Model Size	34b
Required VRAM	18 GB
Updated	2025-08-06
Maintainer	jmoney54378256438905
Model Type	llama
Model Files	8.5 GB: 1-of-3 8.6 GB: 2-of-3 0.9 GB: 3-of-3
Quantization Type	exl2
Model Architecture	LlamaForCausalLM
License	other
Context Length	200000
Model Max Length	200000
Transformers Version	4.34.0
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	64000
Torch Data Type	bfloat16

Rank the Yi 34B 200K MAR2024 EXL2 4bpw 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 34B 200K MAR2024 EXL2 4bpw

Best Alternatives	Context / RAM	Downloads	Likes
...34B 200K Aezakmi Raw 1902 EXL2	195K / 20.7 GB	3	1
...B 200K RPMerge 4.65bpw H6 EXL2	195K / 10.5 GB	8	2
...mi Raw Toxic 2702 4.65bpw EXL2	195K / 20.8 GB	7	2
Yi 34B 200K RPMerge	195K / 68.9 GB	72	60
Opus V1 34B 5.0bpw H6 EXL2	195K / 22.3 GB	5	2
Opus V1 34B 8.0bpw H8 EXL2	195K / 34.8 GB	7	1
Opus V1 34B 4.0bpw H6 EXL2	195K / 18 GB	5	1
34B Beta 5.0bpw H6 EXL2	195K / 22.3 GB	4	1
34B Beta 4.0bpw H6 EXL2	195K / 18.1 GB	2	1
Smaug 34B V0.1 2.65bpw H6 EXL2	195K / 12.4 GB	4	1

Note: green Score (e.g. "73.2") means that the model is better than jmoney54378256438905/Yi-34B-200K-MAR2024-exl2-4bpw.