macadeliccc/AlphaHitchhiker-7B
Text Generation • 7B • Updated • 2 • 2
Tim Dolan
macadeliccc
AI & ML interests
None yet
Recent Activity
new activity about 17 hours ago
macadeliccc/laser-dolphin-mixtral-chat:محادثات ظريفة اخويه repliedto their post 11 months ago
Automated web scraping with playwright is becoming easier by the day. Now, using ollama tool calling, its possible to perform very high accuracy web scraping (in some cases 100% accurate) through just asking an LLM to scrape the content for you.
This can be completed in a multistep process similar to cohere's platform. If you have tried the cohere playground with web scraping, this will feel very similar. In my experience, the Llama 3.1 version is much better due to the larger context window. Both tools are great, but the difference is the ollama + playwright version is completely controlled by you.
All you need to do is wrap your scraper in a function:
```
async def query_web_scraper(url: str) -> dict:
scraper = WebScraper(headless=False)
return await scraper.query_page_content(url)
```
and then make your request:
```
# First API call: Send the query and function description to the model
response = ollama.chat(
model=model,
messages=messages,
tools=[
{
'type': 'function',
'function': {
'name': 'query_web_scraper',
'description': 'Scrapes the content of a web page and returns the structured JSON object with titles, articles, and associated links.',
'parameters': {
'type': 'object',
'properties': {
'url': {
'type': 'string',
'description': 'The URL of the web page to scrape.',
},
},
'required': ['url'],
},
},
},
]
)
```
To learn more:
Github w/ Playground: https://github.com/tdolan21/tool-calling-playground/blob/main/notebooks/ollama-playwright-web-scraping.ipynb
Complete Guide: https://medium.com/@tdolan21/building-an-llm-powered-web-scraper-with-ollama-and-playwright-6274d5d938b5
liked a model about 1 year ago
nm-testing/Devstral-Small-2505-FP8-dynamicOrganizations
macadeliccc/efficient-splade-VI-BT-large-doc-onnx
Updated • 1
macadeliccc/efficient-splade-VI-BT-large-query-onnx
Updated • 1
macadeliccc/SOLAR-10.7B-Instruct-v1.0-laser
Text Generation • 11B • Updated • 3 • 2
macadeliccc/magistrate-3.2-3b-it-GGUF
Text Generation • 3B • Updated • 91 • 1
macadeliccc/magistrate-3.2-3b-it
Text Generation • 3B • Updated • 6 •
macadeliccc/magistrate-3.2-3b-base
Text Generation • 3B • Updated • 6 • 1
macadeliccc/distil-gemma-2-2b
3B • Updated • 1
macadeliccc/llama-3-8b-instruct-pte
Updated • 9
macadeliccc/gemma-2b-legal-summary-lora
Text Generation • Updated • 1 • 1
macadeliccc/gemma-2b-openai-content-moderation
Text Generation • Updated • 6 • 1
macadeliccc/gemma-2b-pubmed-classifier
Text Generation • Updated • 6 • 1
macadeliccc/gemma-2b-orca-mwp-lora-v0.2
Text Generation • Updated • 2
macadeliccc/Qwen2-7B-AWQ
Text Generation • 8B • Updated • 5
macadeliccc/Samantha-Qwen2-1.5B
Text Generation • 2B • Updated • 5
macadeliccc/Samantha-Qwen2-1.5B-QLoRa
Text Generation • Updated • 7
macadeliccc/dolphin-2.9.2-qwen2-7b-AWQ
Text Generation • 8B • Updated • 4
macadeliccc/Samantha-Qwen2-7B-LoRa
Text Generation • Updated • 4
macadeliccc/dolphin-2.9.3-mistral-7B-32K-GGUF
7B • Updated • 182
macadeliccc/dolphin-2.9.3-Yi-1.5-34B-32k-GGUF
34B • Updated • 57
macadeliccc/dolphin-2.9.2-Phi-3-Medium-GGUF
14B • Updated • 61
macadeliccc/Samantha-Qwen-2-7B
Text Generation • 8B • Updated • 9 • • 3
macadeliccc/ShareGPT-4o-MiniCPM-Llama-3-V-2_5
Feature Extraction • 9B • Updated • 8 • 1
macadeliccc/Samantha-Qwen2-7B-AWQ
Text Generation • 8B • Updated • 5
macadeliccc/ShareGPT-4o-CPM-Llama-3-V-2_5_lora
Updated
macadeliccc/opus-samantha-phi-3-4k
Text Generation • 4B • Updated • 7
macadeliccc/Opus-Samantha-Llama-3-8B
Text Generation • 8B • Updated • 8 • • 5
macadeliccc/Llama3-ChatQA-1.5-8B-GGUF
8B • Updated • 8
macadeliccc/dolphin-2.9-llama3-8b-emb
8B • Updated • 3
macadeliccc/Opus-Samantha-Llama-3-8B-AWQ
Text Generation • 8B • Updated • 1