What are the hardware requirements for Dolphin 2.2 Yi 34B 200K?

Dolphin 2.2 Yi 34B 200K requires approximately 69.2 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 Dolphin 2.2 Yi 34B 200K and how large is it?

Dolphin 2.2 Yi 34B 200K is developed by dphn, 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 Dolphin 2.2 Yi 34B 200K?

Dolphin 2.2 Yi 34B 200K is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Dolphin 2.2 Yi 34B 200K by dphn — VRAM 69.2GB, 195K context

Name: Dolphin 2.2 Yi 34B 200K
Author: dphn

Dolphin 2.2 Yi 34B 200K is an open-source language model by dphn. Features: 34b LLM, VRAM: 69.2GB, Context: 195K, License: apache-2.0, Instruction-Based, Merged, LLM Explorer Score: 0.1.

Merged Model Conversational Dataset:ehartford/dolphin Dataset:ehartford/samantha-dat... Dataset:ehartford/wizardlm evo... Dataset:jondurbin/airoboros-2.... En Endpoints compatible Instruct Llama Model-index Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/dphn/dolphin-2.2-yi-34b-200k

Dolphin 2.2 Yi 34B 200K Parameters and Internals

LLM Name	Dolphin 2.2 Yi 34B 200K
Repository 🤗	https://huggingface.co/dphn/dolphin-2.2-yi-34b-200k
Merged Model	Yes
Model Size	34b
Required VRAM	69.2 GB
Updated	2026-08-08
Maintainer	dphn
Model Type	llama
Instruction-Based	Yes
Model Files	4.8 GB: 1-of-15 4.8 GB: 2-of-15 5.0 GB: 3-of-15 4.8 GB: 4-of-15 4.8 GB: 5-of-15 5.0 GB: 6-of-15 4.8 GB: 7-of-15 4.8 GB: 8-of-15 5.0 GB: 9-of-15 4.8 GB: 10-of-15 4.8 GB: 11-of-15 5.0 GB: 12-of-15 4.8 GB: 13-of-15 4.8 GB: 14-of-15 1.2 GB: 15-of-15
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	200000
Model Max Length	200000
Transformers Version	4.35.2
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	64000
Torch Data Type	bfloat16

Rank the Dolphin 2.2 Yi 34B 200K 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 Dolphin 2.2 Yi 34B 200K

Best Alternatives	Context / RAM	Downloads	Likes
Bagel DPO 34B V0.5	195K / 68.7 GB	8040	17
Dolphin 2.2 Yi 34B 200K	195K / 69.2 GB	933	36
Bagel 34B V0.5	195K / 68.7 GB	8	8
Bagel 34B V0.4	195K / 68.7 GB	12	10
...gpt 32K Codellama 34B Instruct	32K / 67.5 GB	56	2
CodeLlama 34B Instruct Hf	16K / 67.5 GB	22872	304
CodeLlama 34B Instruct Hf	16K / 1.4 GB	5	3
CodeLlama 34B Instruct Hf	16K / 1.4 GB	7	3
Speechless Codellama 34B V2.0	16K / 67.5 GB	96	17
CodeLlama 34B Instruct Hf	16K / 67.5 GB	622	19

Note: green Score (e.g. "73.2") means that the model is better than dphn/dolphin-2.2-yi-34b-200k.