Fi

Fine Tune LLM's Without Code

Hacker News

Fine Tune LLM's Without Code

Hi, During the recent explosion of LLM's, I've been playing around with Llama-2 7b on my Mac, and have wanted to fine tune the model. I've created a service which lets you upload a json/jsonl file, and it'll automatically fine tune Llama/Mistral/anything from hf on that dataset. You don't have to "burn" money trying to get fine tuning scripts to work or use gpt-3.5. You just upload your dataset, let the model fine tune, and then download the model to run locally. I personally used my service to fine tune Code Llama on python docstring comments. I then took the model and converted it to .gguf (for use in llama.cpp) and I'm now able to generate python docstrings without sending my code to OpenAi (it works surprisingly well). I hope this helps some people. I'm manually onboarding users and I'm interested in any feedback you might have.

Share card

Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: mac, model, user · Missing: agents, macos, agent
96%96% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
91%91% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: llama, io · Missing: https docs, excited, just released
56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: personal, users · Missing: mobile apps, ios, entrepreneurs
50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive
32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Pioneer
Pioneer70%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Fine-tune any LLM in minutes, with one prompt

Product Hunt+115API
Ll
LlamaGym – fine-tune LLM agents with online reinforcement learning34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

LlamaGym – fine-tune LLM agents with online reinforcement learning

Hacker News239
Wr
Writekin – fine-tune a local LLM on your own writing, on your Mac26%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Writekin – fine-tune a local LLM on your own writing, on your Mac

Hacker News6
Fi
Fine-tune LLMs without catastrophic forgetting with CURLoRA approach44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Fine-tune LLMs without catastrophic forgetting with CURLoRA approach

Hacker News3
St
Streamtune - Fine-Tune LLMs with Zero Code54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Streamtune - Fine-Tune LLMs with Zero Code

Hacker News1
Fi
Fine-tune Llama3-8B on 8GB GPU without quantization42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Fine-tune Llama3-8B on 8GB GPU without quantization

Hacker News3
Soup CLI
Soup CLI75%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Fine-tune an 8B LLM on a 4 GB laptop GPU

Product Hunt+107Open Source
TuneTrain.ai
TuneTrain.ai78%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Fine-tune AI models with your augmented data

Product Hunt+79SaaS
Lu
Ludwig 0.8 – Fine-tune custom LLMs on your private data76%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Ludwig 0.8 – Fine-tune custom LLMs on your private data

Hacker News2
Au
Automatically back up ChatGPT fine tune datasets36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Automatically back up ChatGPT fine tune datasets

Hacker News1