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OpenCrystal V4 L3 4x8B by Darkknight535

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Model Card on HF 🤗: https://huggingface.co/Darkknight535/OpenCrystal-V4-L3-4x8B 

OpenCrystal V4 L3 4x8B Benchmarks

LLME Score: 0.2324
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
OpenCrystal V4 L3 4x8B (Darkknight535/OpenCrystal-V4-L3-4x8B)

OpenCrystal V4 L3 4x8B Parameters and Internals

Model Type 
Multimodal, Text Generation
Use Cases 
Areas:
Creative Writing, Role-Playing
Applications:
NPC Interaction, Storytelling
Primary Use Cases:
Generating creative text, Acting as Non-Player Characters (NPCs) in stories
Limitations:
Not suitable for all audiences due to NSFW content
Additional Notes 
Integration of 4 different models for varied creative outputs and functionality.
Training Details 
Methodology:
Fine-tuning, Model Merging
Model Architecture:
Llama-3 base with instruct and context preset
Input Output 
Input Format:
Follows a system prompt with placeholders for {{char}} and {{user}}.
Accepted Modalities:
Text
Output Format:
Text responses, can generate image prompts
Performance Tips:
Recommended to use DRY and XTC samplers for best performance.
LLM NameOpenCrystal V4 L3 4x8B
Repository 🤗https://huggingface.co/Darkknight535/OpenCrystal-V4-L3-4x8B 
Model Size24.9b
Required VRAM50 GB
Updated2024-12-22
MaintainerDarkknight535
Model Typemixtral
Instruction-BasedYes
Model Files  10.0 GB: 1-of-5   10.0 GB: 2-of-5   10.0 GB: 3-of-5   10.0 GB: 4-of-5   10.0 GB: 5-of-5
Model ArchitectureMixtralForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.45.1
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

Best Alternatives to OpenCrystal V4 L3 4x8B

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L3.1 MoE 4x8B V0.2128K / 50.1 GB352
...ama 3 Aplite Instruct 4x8B MoE8K / 50 GB46238
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Llama 3 8B Instruct MoE 28K / 50 GB110
Llama 3 4x8B8K / 49.9 GB130
Note: green Score (e.g. "73.2") means that the model is better than Darkknight535/OpenCrystal-V4-L3-4x8B.

Rank the OpenCrystal V4 L3 4x8B 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  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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