LLM EXPLORER 59,420 MODELS INDEXED

Phi3 4K Sentiment May 24 2024 2epoches by seandearnaley

By seandearnaley · 20 downloads
HF Repo ↗ Copy URL

Phi3 4K Sentiment May 24 2024 2epoches is an open-source language model by seandearnaley. Features: 3.8b LLM, VRAM: 7.6GB, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.12.

Base model:quantized:unsloth/p... Base model:unsloth/phi-3-mini-...   Conversational   En   Endpoints compatible   Gguf   Instruct   Mistral   Phi-3   Quantized   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/seandearnaley/phi3-4k-sentiment-may-24-2024-2epoches 

Phi3 4K Sentiment May 24 2024 2epoches Parameters and Internals

Model Type 
text generation, sentiment analysis
Use Cases 
Areas:
sentiment analysis
Applications:
stock value prediction analysis
Primary Use Cases:
Performing sentiment analysis on text related to stock value prediction
Additional Notes 
System is designed to perform sentiment analysis on potential future stock value from given text.
Training Details 
Data Sources:
Uploaded model
Methodology:
Finetuned using Unsloth and Huggingface's TRL library
Context Length:
4096
Training Time:
Trained 2x faster with Unsloth
Input Output 
Input Format:
<|system|> System message <|end|> <|user|> User prompt <|end|>
Accepted Modalities:
text
Output Format:
JSON
LLM NamePhi3 4K Sentiment May 24 2024 2epoches
Repository 🤗https://huggingface.co/seandearnaley/phi3-4k-sentiment-may-24-2024-2epoches 
Base Model(s)  Phi 3 Mini 4K Instruct   unsloth/Phi-3-mini-4k-instruct
Model Size3.8b
Required VRAM7.6 GB
Updated2026-08-08
Maintainerseandearnaley
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   2.6 GB: 2-of-2   7.6 GB   2.3 GB   2.7 GB   4.1 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licenseapache-2.0
Model Max Length4096
Tokenizer ClassLlamaTokenizer
Padding Token<|placeholder6|>