Research community developing various code models, small and big. Models may not be instruct

Another open source small (1B) model.

Chat uses model geared for coding.

Another possible model. For coding capabilities, Deepseek Coder achieves state-of-the-art performance among open-source code models on multiple programming languages and various benchmarks.

With the optimizers of bitsandbytes (like 8 bit AdamW), you would need 2 bytes per parameter, or 14 GB of GPU memory.

Another potential model to use for Newspeak, but it is NOT open source. Adventage: 2.5B params, so should be usable in small GPUs

training a model like Llama with 2.7 billion parameters outperformed a larger model like Vicuna with 13 billion parameters. Especially when considering resource consumption, this might be a good alternative to using a 7B Foundation model instead of a full-blown ChatGPT. The best price-to-performance base model for our use case turned out to be Mistral 7b. The model is compact enough to fit into an affordable GPU with 24GB VRAM and outperforms the other models with 7B parameters.

Comparison of LLM models for coding

Open source with lots of information. Uses Multiple undrelying models. Not sure how I would train for it

The Mixtral model is new, and seems to be good. Click on “Demo“ to test it

Article has comparison with other code-LLM models

Review of LLM specialized for code generation

Model which generates code for Python, Javascript, Go, Shell, Perl, Swifg, Ruby, PHP

AI Code tools : Good summary. Does not talk about which pre-trained model they use. One is gemini (bard) -> alphacode2

GEnerates WebID

Look for models that could be used in Newspeak

Coroutine is a routine which can yield. Coroutines are typically scheduled cooperatively (=non-preemptively). Coroutines are similar to threads, although threads are typically scheduled preemptively (scheduler pre-empts=forces execution to pause and yield, even without yield in the language)