What are the hardware requirements for ChatAllInOne Yi 34B 200K V1 GGUF?

ChatAllInOne Yi 34B 200K V1 GGUF requires approximately 12.8 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 ChatAllInOne Yi 34B 200K V1 GGUF and how large is it?

ChatAllInOne Yi 34B 200K V1 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 ChatAllInOne Yi 34B 200K V1 GGUF?

ChatAllInOne Yi 34B 200K V1 GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

ChatAllInOne Yi 34B 200K V1 GGUF by second-state — VRAM 12.8GB, 195K context

Name: ChatAllInOne Yi 34B 200K V1 GGUF
Author: second-state

ChatAllInOne Yi 34B 200K V1 GGUF is an open-source language model by second-state. Features: 34b LLM, VRAM: 12.8GB, Context: 195K, License: other, Quantized, LLM Explorer Score: 0.12.

Base model:drnicefellow/chatal... Base model:quantized:drnicefel... Endpoints compatible Gguf Llama Q2 Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/second-state/ChatAllInOne-Yi-34B-200K-V1-GGUF

ChatAllInOne Yi 34B 200K V1 GGUF Parameters and Internals

Model Type

text-generation

Additional Notes

The model is quantized by Second State Inc. with various GGUF quantization methods, offering different tradeoffs between model size and quality loss.

LLM Name	ChatAllInOne Yi 34B 200K V1 GGUF
Repository 🤗	https://huggingface.co/second-state/ChatAllInOne-Yi-34B-200K-V1-GGUF
Model Name	ChatAllInOne-Yi-34B-200K-V1
Model Creator	DrNicefellow
Base Model(s)	ChatAllInOne Yi 34B 200K V1 DrNicefellow/ChatAllInOne-Yi-34B-200K-V1
Model Size	34b
Required VRAM	12.8 GB
Updated	2026-08-02
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
GGUF Quantization	Yes
Quantization Type	gguf\|q2\|q4_k\|q5_k
Model Architecture	LlamaForCausalLM
License	other
Context Length	200000
Model Max Length	200000
Transformers Version	4.37.0
Vocabulary Size	64000
Torch Data Type	bfloat16

Rank the ChatAllInOne Yi 34B 200K V1 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

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Note: green Score (e.g. "73.2") means that the model is better than second-state/ChatAllInOne-Yi-34B-200K-V1-GGUF.