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Just HEAR Me by BrunoGR

 »  All LLMs  »  BrunoGR  »  Just HEAR Me   URL Share it on

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  Autotrain compatible   Chatbot   Conversational Dataset:brunogr/hear-hispanic ... Dataset:brunogr/hrecpw-hispani...   Emotional   Emotional accompaniment   Emotional support   Endpoints compatible   Es   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/BrunoGR/Just_HEAR_Me 

Just HEAR Me Benchmarks

LLME Score: 0.21012
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Just HEAR Me (BrunoGR/Just_HEAR_Me)

Just HEAR Me Parameters and Internals

Model Type 
text generation, emotional support chat
Use Cases 
Areas:
Emotional assistance, Psychological support
Applications:
Research, Open-source contributions
Primary Use Cases:
Spanish emotional accompaniment, Psychological support chat
Additional Notes 
Designed for Spanish-speaking users. Quantsized to 2, 4, and 8 bits for wide accessibility and CPU efficiency.
Supported Languages 
es (demonstrates proficiency)
Training Details 
Data Sources:
BrunoGR/HEAR-Hispanic_Emotional_Accompaniment_Responses, BrunoGR/HRECPW-Hispanic_Responses_for_Emotional_Classification_based_on_Plutchik_Wheel
Data Volume:
121,000 training examples, 2,200 validation examples, and 1,320 test examples (for HRECPW); 41,481 training examples, 2,200 validation, 1,320 test examples (for HEAR)
Methodology:
Fine-tuned using LoRA (Low Rank Adaptation). Utilizes RoPE (Rotary Positional Embedding) and GQA (Grouped-Query Attention) techniques.
LLM NameJust HEAR Me
Repository 🤗https://huggingface.co/BrunoGR/Just_HEAR_Me 
Model Size7b
Required VRAM27.1 GB
Updated2025-01-20
MaintainerBrunoGR
Model Typellama
Model Files  4.8 GB: 1-of-6   4.9 GB: 2-of-6   4.9 GB: 3-of-6   4.9 GB: 4-of-6   4.9 GB: 5-of-6   2.7 GB: 6-of-6
Supported Languageses
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length4096
Model Max Length4096
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token<0x00>
Vocabulary Size32000
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than BrunoGR/Just_HEAR_Me.

Rank the Just HEAR Me 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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