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Futaro Chat by Sgjustino

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  4bit   Autotrain compatible Dataset:amod/mental health cou...   En   Endpoints compatible   Llama   Medical   Pytorch   Quantized   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/Sgjustino/futaro_chat 

Futaro Chat Benchmarks

LLME Score: 0.20282
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Futaro Chat (Sgjustino/futaro_chat)

Futaro Chat Parameters and Internals

LLM NameFutaro Chat
Repository 🤗https://huggingface.co/Sgjustino/futaro_chat 
Model Size8b
Required VRAM16.1 GB
Updated2025-02-03
MaintainerSgjustino
Model Typellama
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Supported Languagesen
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length8192
Model Max Length8192
Transformers Version4.42.4
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_250|>
Vocabulary Size128256
Torch Data Typefloat16

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Llama 3 8B Instruct 1048K 4bit1024K / 4.5 GB825
Llama 3 8B Instruct 1048K 8bit1024K / 8.6 GB2117
... Gradient 1048K 8.0bpw H8 EXL21024K / 8.6 GB53
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Llama 3 8B Instruct 262K 2bit256K / 2.5 GB61
...B Instruct 262k V2 EXL2 5.0bpw256K / 5.8 GB51
Note: green Score (e.g. "73.2") means that the model is better than Sgjustino/futaro_chat.

Rank the Futaro Chat 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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Release v20241227
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