Hello after a long time :)
I am TokenBender.
Some of you may remember my previous model - codeCherryPop
It was very kindly received so I am hoping I won’t be killed this time as well.
Releasing EvolvedSeeker-1.3B v0.0.1
A 1.3B model with 68.29% on HumanEval.
The base model is quite cracked, I just did with it what I usually try to do with every coding model.
Here is the model - https://huggingface.co/TokenBender/evolvedSeeker_1_3
I will post this in TheBloke’s server for GGUF but I find that Deepseek coder’s GGUF sucks for some reason so let’s see.
EvolvedSeeker v0.0.1 (First phase)
This model is a fine-tuned version of deepseek-ai/deepseek-coder-1.3b-base on 50k instructions for 3 epochs.
I have mostly curated instructions from evolInstruct datasets and some portions of glaive coder.
Around 3k answers were modified via self-instruct.
Recommended format is ChatML, Alpaca will work but take care of EOT token
This is a very early version of 1.3B sized model in my major project PIC (Partner-in-Crime)
Going to teach this model json/md adherence next.
I will just focus on simple things that I can do for now but anything you guys will say will be taken into consideration for fixes.
Thank you. Really interesting. I have a question for you. Do you happen know of there are any trained from scratch coding model projects? The reason I ask is I have a very specific idea about how to best teach an LLM to program, but it requires changing some details at the very base encoding level and a change in presentation of the training data. I’ve been programming for over 30 years now and I strongly suspect there is this fairly simple trick to improving coding models, so I’d like to look at something open source that starts from the very beginning. Then I can investigate how hard it would be to implement what I’m thinking. The design I have should result in very small but capable models.