Redmond Hermes Coder GPTQ is an open-source language model by TheBloke. Features: 15.8b LLM, VRAM: 9.2GB, License: gpl, Quantized, Code Generating, LLM Explorer Score: 0.07.
Redmond Hermes Coder GPTQ Parameters and Internals
Model Type text generation, language model
Use Cases
Areas: Research, Commercial applications
Applications: Text generation, Understanding complex instructions, Code generation, Creative writing
Limitations: Worse performance than WizardCoder on pure code benchmarks
Additional Notes The model was fine-tuned almost entirely on synthetic GPT-4 outputs.
Supported Languages Training Details
Data Sources: GPTeacher, general, roleplay v1&2, code instruct datasets, Nous Instruct & PDACTL, CodeAlpaca, Evol_Instruct Uncensored, GPT4-LLM, Unnatural Instructions, Camel-AI's Biology/Physics/Chemistry, Math Datasets, Airoboros' GPT-4 Dataset
Data Volume: Over 300,000 instructions
Methodology: Fine-tuning using WizardCoder base, primarily on synthetic GPT-4 outputs
Input Output
Input Format: Alpaca format: '### Instruction: ### Response:'
Accepted Modalities: Output Format: Performance Tips: Use the recommended setup for optimal performance.
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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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