LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  Agents   Benchmarks   LLM  List    LLM Hosting    LLM Leaderboards    Blog    Newsfeed    Advertise

Dolphin 2.9.1 Yi 1.5 34B by cognitivecomputations

 »  All LLMs  »  cognitivecomputations  »  Dolphin 2.9.1 Yi 1.5 34B   URL Share it on

  4811054   

Dolphin 2.9.1 Yi 1.5 34B is an open-source language model by cognitivecomputations. Features: 34b LLM, VRAM: 69.2GB, Context: 8K, License: apache-2.0, HF Score: 75.1, LLM Explorer Score: 0.36, Arc: 69.4, HellaSwag: 85.5, MMLU: 77.5, TruthfulQA: 62.3, WinoGrande: 82.6, GSM8K: 73.

  Autotrain compatible   Axolotl   Base model:01-ai/yi-1.5-34b Base model:finetune:01-ai/yi-1...   Conversational Dataset:cognitivecomputations/... Dataset:cognitivecomputations/... Dataset:cognitivecomputations/...   Dataset:internlm/agent-flan Dataset:locutusque/function-ca... Dataset:m-a-p/codefeedback-fil... Dataset:microsoft/orca-math-wo...   Dataset:teknium/openhermes-2.5   Endpoints compatible   Generated from trainer   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/cognitivecomputations/dolphin-2.9.1-yi-1.5-34b 

Dolphin 2.9.1 Yi 1.5 34B Benchmarks

MMLU Pro: 39.1
GPQA: 12.42
MUSR: 16.97
BBH: 44.17
IFEval: 38.53 vs 88 (so35)-56.2%
ARC: 69.37 vs 96.7 (so35)-28.3%
HellaSwag: 85.53 vs 95.3 (gpt4)-10.3%
MMLU: 77.52 vs 88.3 (so35)-12.2%
TruthfulQA: 62.34 vs 59 (gpt4)5.7%
WinoGrande: 82.56 vs 87.5 (gpt4)-5.6%
GSM8K: 73.01 vs 96.4 (so35)-24.3%
MATH Lvl 5: 18.66
LLME Score: 0.35603
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Dolphin 2.9.1 Yi 1.5 34B (cognitivecomputations/dolphin-2.9.1-yi-1.5-34b)
🌟 Advertise your project 🚀

Dolphin 2.9.1 Yi 1.5 34B Parameters and Internals

Model Type 
text generation, multimodal
Training Details 
Data Sources:
cognitivecomputations/Dolphin-2.9, teknium/OpenHermes-2.5, m-a-p/CodeFeedback-Filtered-Instruction, cognitivecomputations/dolphin-coder, cognitivecomputations/samantha-data, microsoft/orca-math-word-problems-200k, Locutusque/function-calling-chatml, internlm/Agent-FLAN
Methodology:
Full-weight fine-tuning with 8k sequence length
Context Length:
4096
Hardware Used:
8xH100 node
Model Architecture:
LlamaForCausalLM
Input Output 
Input Format:
ChatML prompt template
Accepted Modalities:
text
LLM NameDolphin 2.9.1 Yi 1.5 34B
Repository 🤗https://huggingface.co/cognitivecomputations/dolphin-2.9.1-yi-1.5-34b 
Base Model(s)  01-ai/Yi-1.5-34B   01-ai/Yi-1.5-34B
Model Size34b
Required VRAM69.2 GB
Updated2025-07-13
Maintainercognitivecomputations
Model Typellama
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
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.40.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typebfloat16

Quantized Models of the Dolphin 2.9.1 Yi 1.5 34B

Model
Likes
Downloads
VRAM
Dolphin 2.9.1 Yi 1.5 34B AWQ12819 GB

Best Alternatives to Dolphin 2.9.1 Yi 1.5 34B

Best Alternatives
Context / RAM
Downloads
Likes
Bagel Hermes 34B Slerp195K / 68.9 GB80731
34B Beta195K / 69.2 GB821766
Smaug 34B V0.1195K / 69.2 GB817464
Yi 34B 200K195K / 68.9 GB10003320
Casual Magnum 34B195K / 68.8 GB71
Bagel 34B V0.2195K / 68.7 GB275241
Yi 34B 200K AEZAKMI V2195K / 69.2 GB53712
Smaug 34B V0.1 ExPO195K / 69.2 GB78000
Bagel DPO 34B V0.5195K / 68.7 GB805517
Faro Yi 34B195K / 69.2 GB80326

Rank the Dolphin 2.9.1 Yi 1.5 34B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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  

What open-source LLMs or SLMs are you in search of? 52922 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a
  Support LLM Explorer