Sign Language 20250823 190451 by devparagiri

 ยป  All LLMs  ยป  devparagiri  ยป  Sign Language 20250823 190451   URL Share it on

  Autotrain   Autotrain compatible Base model:microsoft/phi-3.5-m... Base model:quantized:microsoft...   Conversational   Custom code Dataset:devparagiri/dataset-si...   Endpoints compatible   Gguf   Instruct   Peft   Phi3   Q8   Quantized   Region:us   Safetensors   Sharded   Tensorboard   Tensorflow

Sign Language 20250823 190451 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Sign Language 20250823 190451 (devparagiri/sign-language-20250823-190451)
๐ŸŒŸ Advertise your project ๐Ÿš€

Sign Language 20250823 190451 Parameters and Internals

LLM NameSign Language 20250823 190451
Repository ๐Ÿค—https://huggingface.co/devparagiri/sign-language-20250823-190451 
Base Model(s)  microsoft/Phi-3.5-mini-instruct   microsoft/Phi-3.5-mini-instruct
Model Size3.8b
Required VRAM7.7 GB
Updated2025-08-26
Maintainerdevparagiri
Model Typephi3
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   2.7 GB: 2-of-2   4.1 GB   0.0 GB
GGUF QuantizationYes
Quantization Typeq8|gguf
Model ArchitecturePhi3ForCausalLM
Licenseother
Context Length131072
Model Max Length131072
Transformers Version4.48.0
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32011
Torch Data Typefloat16

Best Alternatives to Sign Language 20250823 190451

Best Alternatives
Context / RAM
Downloads
Likes
Phi3 Wbn128K / 7.7 GB50
...nstruct Cinder With 16bit GGUF4K / 7.7 GB191
Ph3 Q8128K / 4 GB50
Phi 4 Mini Instruct128K / 7.7 GB194523587
Phi 3 Mini 128K Instruct128K / 7.7 GB10647871667
Phi 3.5 Mini Instruct128K / 7.7 GB215686904
MediPhi Instruct128K / 7.7 GB484943
NuExtract 1.5128K / 7.7 GB98363236
NuExtract V1.5128K / 7.7 GB10851189
Phi 4 Mini Instruct128K / 7.7 GB677120
Note: green Score (e.g. "73.2") means that the model is better than devparagiri/sign-language-20250823-190451.

Rank the Sign Language 20250823 190451 Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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  

What open-source LLMs or SLMs are you in search of? 50900 in total.

Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124