Dolphin 2.2 Yi 34B 200K is an open-source language model by cognitivecomputations. Features: 34b LLM, VRAM: 69.2GB, Context: 195K, License: apache-2.0, Instruction-Based, Merged, LLM Explorer Score: 0.14, Arc: 42.1, HellaSwag: 68.1, MMLU: 55.4, GSM8K: 3.1.
Dolphin 2.2 Yi 34B 200K Parameters and Internals
Model Type Use Cases
Considerations: Model is uncensored; it is compliant to requests, including unethical ones, without an external alignment layer.
Additional Notes Model trained for empathy and multi-turn conversation using curated datasets.
Training Details
Data Sources: ehartford/dolphin, jondurbin/airoboros-2.2.1, ehartford/samantha-data, ehartford/WizardLM_evol_instruct_V2_196k_unfiltered_merged_split
Data Volume: Dolphin, Airoboros dataset, Samantha, WizardLM
Methodology: Fine-tuning using qLoRA and Axolotl
Context Length: Training Time: Hardware Used: Model Architecture: Based on Yi, uses ChatML prompt format
Responsible Ai Considerations
Accountability: User is responsible for any content generated using this model.
Mitigation Strategies: Implement own alignment layer before deploying as a service
Input Output
Input Format: Accepted Modalities: Output Format:
Release Notes
Version: Notes: Enhancements in conversation and empathy, improved compliance, trained with curated Samantha and WizardLM data for multi-turn conversation.
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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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