🧠

Model

Spacy Llm

Name: Spacy Llm
Author: explosion

by explosion explosion/spacy-llm

Free2AITools Nexus Index

47.0

S: Semantic 50

Query-time baseline · scored live at search

A: Authority 58

P: Popularity 58

R: Recency 84

Q: Quality 70

Tech Context

Vital Performance —

Source →

Technical Constraints

Experimental / High Latency

Low FNI signal 47 FNI Score

Tiny - Params

- Context

0 Downloads

Commercial MIT License

Model Information Summary
Entity Passport
Registry ID	explosion/spacy-llm
License	MIT
Provider	github

📜

Cite this model

Academic & Research Attribution

BibTeX

@misc{gh_tool_explosion_spacy_llm,
  author = {explosion},
  title = {Spacy Llm Model},
  year = {2026},
  howpublished = {\url{https://github.com/explosion/spacy-llm}},
  note = {Accessed via Free2AITools.}
}

APA Style

explosion. (2026). Spacy Llm [Model]. Free2AITools. https://github.com/explosion/spacy-llm

🔬Technical Deep Dive

Full Specifications [+]

Quick Commands

🐙 Git Clone

git clone https://github.com/explosion/spacy-llm

⚖️ Free2AITools Nexus Index V2.0

Methodology How FNI works

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 58

Popularity (P) 58

Recency (R) 84

Quality (Q) 70

💬 Index Insight

FNI V2.0 for Spacy Llm: Authority (A:58), Popularity (P:58), Recency (R:84), Quality (Q:70). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology

Open data Updated: Live data

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🚀 What's Next?

📊

Technical Deep Dive

spacy-llm
Structured NLP with LLMs

This package integrates Large Language Models (LLMs) into spaCy, featuring a modular system for fast prototyping and prompting, and turning unstructured responses into robust outputs for various NLP tasks, no training data required.

Feature Highlight

Serializable llm component to integrate prompts into your spaCy pipeline
Modular functions to define the task (prompting and parsing) and model
Interfaces with the APIs of
- OpenAI
- Cohere
- Anthropic
- Google PaLM
- Microsoft Azure AI
Supports open-source LLMs hosted on Hugging Face 🤗:
- Falcon
- Dolly
- Llama 2
- OpenLLaMA
- **[S

⚠️ Incomplete Data

Some information about this model is not available. Use with Caution - Verify details from the original source before relying on this data.

View Original Source →

📝 Limitations & Considerations

• Benchmark scores may vary based on evaluation methodology and hardware configuration.
• VRAM requirements are estimates; actual usage depends on quantization and batch size.
• FNI scores are relative rankings and may change as new models are added.
⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

GitHub Repository

1.4KStars

105Forks

Repo Issues

🐙 Data Source: GitHub ↗

🔄 Updated daily

Source summary: Based on GitHub metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹ️ Verify with original source

🛡️ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id: gh-tool--explosion--spacy-llm
slug: explosion--spacy-llm
source: github
author: explosion
license: MIT
tags: large-language-models, llm, openai, spacy, dolly, gpt-3, gpt-4, machine-learning, named-entity-recognition, natural-language-processing, nlp, text-classification, prompt-engineering, anthropic, claude, cohere, falcon, llama, python

⚙️ Technical Specs

architecture: null
params billions: null
context length: null
pipeline tag: other

📊 Engagement & Metrics

downloads: 0
stars: 1,388
forks: 105

Data indexed from public sources. Updated daily.