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TinyChat 1776K by raincandy-u

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  Autotrain compatible   Dataset:raincandy-u/tinychat   Endpoints compatible   Llama   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/raincandy-u/TinyChat-1776K 

TinyChat 1776K Benchmarks

LLME Score: 0.20403
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
TinyChat 1776K (raincandy-u/TinyChat-1776K)

TinyChat 1776K Parameters and Internals

Model Type 
text-generation
Additional Notes 
It has no world knowledge, so you should not ask it any intellectual questions.
Training Details 
Data Sources:
TinyChat dataset
Data Volume:
Dataset of 3 year old children level English conversations
Methodology:
Trained from scratch
Model Architecture:
hidden_size=192, intermediate_size=640, num_attention_heads=16, num_hidden_layers=3, num_key_value_heads=4, tie_word_embeddings=True, vocab_size=2048, max_position_embeddings=256
LLM NameTinyChat 1776K
Repository 🤗https://huggingface.co/raincandy-u/TinyChat-1776K 
Model Size1.8m
Required VRAM0 GB
Updated2025-02-22
Maintainerraincandy-u
Model Typellama
Model Files  0.0 GB
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length256
Model Max Length256
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size2048
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than raincandy-u/TinyChat-1776K.

Rank the TinyChat 1776K Capabilities

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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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Release v20241227
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