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Dolphin 2.2 Yi 34B 5.0bpw H6 EXL2 by LoneStriker

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  Merged Model   Autotrain compatible   Dataset:ehartford/dolphin Dataset:ehartford/samantha-dat... Dataset:ehartford/wizardlm evo... Dataset:jondurbin/airoboros-2....   En   Endpoints compatible   Exl2   Instruct   Llama   Pytorch   Quantized   Region:us   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/LoneStriker/dolphin-2.2-yi-34b-5.0bpw-h6-exl2 

Dolphin 2.2 Yi 34B 5.0bpw H6 EXL2 Benchmarks

LLME Score: 0.11717
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Dolphin 2.2 Yi 34B 5.0bpw H6 EXL2 (LoneStriker/dolphin-2.2-yi-34b-5.0bpw-h6-exl2)
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Dolphin 2.2 Yi 34B 5.0bpw H6 EXL2 Parameters and Internals

Model Type 
Text Generation
Use Cases 
Areas:
Research, Commercial applications
Applications:
Multi-turn conversation, Personal advice generation
Primary Use Cases:
Empathy, Long conversations
Limitations:
Lacks alignment and bias control
Considerations:
Implement an alignment layer before exposing the model as a service.
Additional Notes 
New in 2.2: conversation and empathy features added with updates from Samantha and WizardLM data. Sponsorship by a16z. Uncensored model with an advising nature.
Supported Languages 
input (English), output (English)
Training Details 
Data Sources:
ehartford/dolphin, jondurbin/airoboros-2.2.1, ehartford/samantha-data, ehartford/WizardLM_evol_instruct_V2_196k_unfiltered_merged_split
Methodology:
Modified dataset for uncensoring, deduping, cleaning, and quality. Additional datasets added for creativity and multi-turn conversation training
Training Time:
3 days
Hardware Used:
4x A100s
Input Output 
Input Format:
ChatML format
Accepted Modalities:
Text
Output Format:
Text
LLM NameDolphin 2.2 Yi 34B 5.0bpw H6 EXL2
Repository 🤗https://huggingface.co/LoneStriker/dolphin-2.2-yi-34b-5.0bpw-h6-exl2 
Merged ModelYes
Model Size34b
Required VRAM22.2 GB
Updated2025-09-23
MaintainerLoneStriker
Model Typellama
Instruction-BasedYes
Model Files  8.6 GB: 1-of-3   8.5 GB: 2-of-3   5.1 GB: 3-of-3
Supported Languagesen
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length16384
Model Max Length16384
Transformers Version4.34.1
Tokenizer ClassYiTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/dolphin-2.2-yi-34b-5.0bpw-h6-exl2.

Rank the Dolphin 2.2 Yi 34B 5.0bpw H6 EXL2 Capabilities

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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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Release v20241124
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