OpenHermes 2.5 Strix Philosophy Mistral 7B LoRA by sayhan

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  Autotrain compatible Base model:quantized:teknium/o... Base model:teknium/openhermes-...   Conversational Dataset:sayhan/strix-philosoph...   En   Endpoints compatible   Gguf   Lora   Mistral   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth

OpenHermes 2.5 Strix Philosophy Mistral 7B LoRA Parameters and Internals

LLM NameOpenHermes 2.5 Strix Philosophy Mistral 7B LoRA
RepositoryOpen on ๐Ÿค— 
Base Model(s)  teknium/OpenHermes-2.5-Mistral-7B   teknium/OpenHermes-2.5-Mistral-7B
Model Size7b
Required VRAM14.4 GB
Updated2024-07-27
Maintainersayhan
Model Files  0.1 GB   4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3   3.8 GB   14.5 GB   2.7 GB   3.5 GB   3.2 GB   4.1 GB   4.4 GB   4.1 GB   5.0 GB   5.1 GB   5.0 GB   5.9 GB   7.7 GB   14.5 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Model Max Length32768
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesk_proj|v_proj|down_proj|o_proj|q_proj|up_proj|gate_proj
LoRA Alpha16
LoRA Dropout0
R Param8
OpenHermes 2.5 Strix Philosophy Mistral 7B LoRA (sayhan/OpenHermes-2.5-Strix-Philosophy-Mistral-7B-LoRA)

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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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072501