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Slim Extract by llmware

By llmware · 10 downloads
HF Repo ↗ Copy URL

Slim Extract is an open-source language model by llmware. Features: 3b LLM, VRAM: 5.6GB, Context: 4K, License: cc-by-sa-4.0, LLM Explorer Score: 0.11.

  Custom code   Pytorch   Region:us   Stablelm epoch
Model Card on HF 🤗: https://huggingface.co/llmware/slim-extract 

Slim Extract Parameters and Internals

Model Type 
function-calling, text extraction
Use Cases 
Areas:
Research, development, text analysis
Applications:
Automated extraction, data collation, text processing in Python.
Primary Use Cases:
Extracting specified information keys from text and outputting as Python dictionary.
Additional Notes 
Specializes in structured extractions from text, targeting list outputs for given keys.
Training Details 
Methodology:
Fine-tuning
Model Architecture:
Can perform specialized extractions from text and output Python dictionary.
Input Output 
Input Format:
Context passage and customized key for extraction
Accepted Modalities:
text
Output Format:
Python dictionary
LLM NameSlim Extract
Repository 🤗https://huggingface.co/llmware/slim-extract 
Model Size3b
Required VRAM5.6 GB
Updated2026-08-05
Maintainerllmware
Model Typestablelm_epoch
Model Files  5.6 GB
Model ArchitectureStableLMEpochForCausalLM
Licensecc-by-sa-4.0
Context Length4096
Model Max Length4096
Transformers Version4.33.2
Tokenizer ClassGPTNeoXTokenizer
Vocabulary Size50304
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than llmware/slim-extract.