Fix Colab
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3 changed files with 20 additions and 12 deletions
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@ -59,7 +59,7 @@ All notebooks are **beginner friendly**! Add your dataset, click "Run All", and
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- No change of hardware. Supports NVIDIA GPUs since 2018+. Minimum CUDA Capability 7.0 (V100, T4, Titan V, RTX 20, 30, 40x, A100, H100, L40 etc) [Check your GPU!](https://developer.nvidia.com/cuda-gpus) GTX 1070, 1080 works, but is slow.
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- Works on **Linux** and **Windows** via WSL.
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- Supports 4bit and 16bit QLoRA / LoRA finetuning via [bitsandbytes](https://github.com/TimDettmers/bitsandbytes).
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- Open source trains 5x faster - see [Unsloth Pro](https://unsloth.ai/) for **30x faster training**!
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- Open source trains 5x faster - see [Unsloth Pro](https://unsloth.ai/) for up to **30x faster training**!
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- If you trained a model with 🦥Unsloth, you can use this cool sticker! <img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/made with unsloth.png" height="50" align="center" />
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@ -134,15 +134,6 @@ kaggle-new = [
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conda = [
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"unsloth[huggingface]",
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]
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colab = [
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"unsloth[cu121]",
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]
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colab-ampere = [
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"unsloth[cu121]",
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"packaging",
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"ninja",
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"flash-attn",
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]
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colab-torch211 = [
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"unsloth[huggingface]",
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"bitsandbytes",
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@ -169,6 +160,15 @@ colab-ampere-torch220 = [
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"ninja",
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"flash-attn",
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]
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colab = [
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"unsloth[colab-ampere-torch220]",
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]
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colab-ampere = [
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"unsloth[colab-ampere-torch220]",
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"packaging",
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"ninja",
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"flash-attn",
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]
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cu118-ampere = [
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"unsloth[huggingface]",
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"bitsandbytes",
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@ -259,8 +259,10 @@ def get_chat_template(
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assert("Unsloth: Can only map new tokens to EOS for now. Adding new tokens is not yet supported.")
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pass
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if tokenizer.__class__.__name__.startswith("Gemma") and chat_template == "chatml":
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chat_template = "gemma_chatml"
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IS_GEMMA = False
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if tokenizer.__class__.__name__.startswith("Gemma"):
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if chat_template == "chatml": chat_template = "gemma_chatml"
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IS_GEMMA = True
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pass
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old_padding_side = tokenizer.padding_side
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@ -338,6 +340,12 @@ def get_chat_template(
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.replace("'user'", "'" + mapping["user"] + "'")\
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.replace("'assistant'", "'" + mapping["assistant"] + "'")
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# Careful on Gemma
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# bos_token is a must or else losses become too high
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if IS_GEMMA and not chat_template.startswith("{{ bos_token }}"):
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chat_template = "{{ bos_token }}" + chat_template
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pass
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_, tokenizer = patch_tokenizer(model = None, tokenizer = tokenizer)
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tokenizer.padding_side = old_padding_side
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tokenizer.chat_template = chat_template
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