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![]() * initial commit * initial commit * Adding first lines * adding x, and dt projection layers * adding the clamping mechanism * First succesful inference * last commit for today - added custom geenrate function and it works as expected, will try training and then with loading a model from the hub * clean up * save up * almost * update * update * fixed cache handeling * fixed loading * added seperate generat_step method in the model and also in the utils to automaticaly use the generate step mthod in the model class * quick update * still not working * save * still not working * initial commit * utils.py logits = logits[:, -1, :] TypeError: tuple indices must be integers or slices, not tuple * update * update * Fixing the Batching Depfwise Comnvolution and multi token input * fixing generate and logits outputs * Done! * Fixing the cache handling, generating works now trying training * update ACKNOWLEDGEMENTS * removing the model_type if stuff in the _step loop in generate_step and adding MambaCache in base.py for training easier generations and removing mamba in tuner/utils. * quick clean up * update trainer/utils for right initialisation of the layers for LoRA, but not working. * clean up * Forther update to trainer/utils for correct layer selection. Successfull training * removing extra mamba-infer.py file * clean up, reformating will come later * reformat and big clean up, final commit * some speedups and cleanups * fix test * nits * nits --------- Co-authored-by: Awni Hannun <awni@apple.com> |
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.. | ||
__init__.py | ||
base.py | ||
cohere.py | ||
dbrx.py | ||
deepseek_v2.py | ||
deepseek.py | ||
gemma2.py | ||
gemma.py | ||
gpt2.py | ||
gpt_bigcode.py | ||
gpt_neox.py | ||
internlm2.py | ||
llama.py | ||
mamba.py | ||
minicpm.py | ||
mixtral.py | ||
nemotron.py | ||
olmo.py | ||
openelm.py | ||
phi3.py | ||
phi3small.py | ||
phi.py | ||
phimoe.py | ||
phixtral.py | ||
plamo.py | ||
qwen2_moe.py | ||
qwen2.py | ||
qwen.py | ||
recurrent_gemma.py | ||
stablelm.py | ||
starcoder2.py | ||
su_rope.py | ||
switch_layers.py |