What are the hardware requirements for Yi 1.5 34B Chat GGUF?

Yi 1.5 34B Chat GGUF requires approximately 8.9 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 Yi 1.5 34B Chat GGUF and how large is it?

Yi 1.5 34B Chat GGUF is developed by second-state, 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 1.5 34B Chat GGUF?

Yi 1.5 34B Chat GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Yi 1.5 34B Chat GGUF by second-state — VRAM 8.9GB, 4K context

Name: Yi 1.5 34B Chat GGUF
Author: second-state

Yi 1.5 34B Chat GGUF is an open-source language model by second-state. Features: 34b LLM, VRAM: 8.9GB, Context: 4K, License: apache-2.0, Quantized, LLM Explorer Score: 0.13.

Base model:01-ai/yi-1.5-34b-ch... Base model:quantized:01-ai/yi-... Conversational Fp16 Gguf Llama Q2 Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/second-state/Yi-1.5-34B-Chat-GGUF

Yi 1.5 34B Chat GGUF Parameters and Internals

Model Type

text-generation

Training Details

Context Length:

7168

Input Output

Input Format:

chatml

LLM Name	Yi 1.5 34B Chat GGUF
Repository 🤗	https://huggingface.co/second-state/Yi-1.5-34B-Chat-GGUF
Model Name	Yi-1.5-34B-Chat
Model Creator	01-ai
Base Model(s)	01-ai/Yi-1.5-34B-Chat 01-ai/Yi-1.5-34B-Chat
Model Size	34b
Required VRAM	8.9 GB
Updated	2026-07-20
Maintainer	second-state
Model Type	llama
Model Files	12.8 GB 18.1 GB 16.7 GB 15.0 GB 19.5 GB 20.7 GB 19.6 GB 23.7 GB 24.3 GB 23.7 GB 28.2 GB 36.5 GB 29.9 GB: 1-of-3 29.9 GB: 2-of-3 8.9 GB: 3-of-3
GGUF Quantization	Yes
Quantization Type	fp16\|gguf\|q2\|q4_k\|q5_k
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.40.0
Vocabulary Size	64000
Torch Data Type	bfloat16

Rank the Yi 1.5 34B Chat GGUF 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 1.5 34B Chat GGUF

Best Alternatives	Context / RAM	Downloads	Likes
...atAllInOne Yi 34B 200K V1 GGUF	195K / 12.8 GB	361	0
...Yi Ties 34B V1.0 MLX Q8 0.gguf	195K / 36.5 GB	27	0
Dolphin 2.2 Yi 34B GGUF	16K / 12.8 GB	259	0
...ionStar Yi 34B Chat Llama GGUF	4K / 12.8 GB	133	2
Yi 34B Chat GGUF	4K / 12.8 GB	274	3
...mantha 1.11 CodeLlama 34B GGUF	2K / 12.5 GB	250	2
...34B 200K Aezakmi Raw 1902 EXL2	195K / 20.7 GB	3	1
Yi 34B 200K MAR2024 EXL2 4bpw	195K / 18 GB	4	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