General
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version: '3'
services:
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.venv
.github
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out/
7B/
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wandb/
output/
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QLoRA: Efficient Finetuning of Quantized LLMs
| [Paper](https://arxiv.org/abs/2305.14314) | [Adapter Weights](https://huggingface.co/timdettmers) | [Demo](https://huggingface.co/spaces/uwnlp/guanaco-playground-tgi) |
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project:
type: website
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codecov:
require_ci_to_pass: yes
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version: '3.8'
services:
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data/*.jsonl filter=lfs diff=lfs merge=lfs -text
generic skill
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**/axolotl.egg-info
configs
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default_language_version:
python: python3
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FAQs
- Can you train StableLM with this? Yes, but only with a single GPU atm. Multi GPU support is coming soon! Just waiting on this [PR](https://github.com/huggingface/transformers/pull/22874)
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<p align="center">
<picture>
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[run]
source = axolotl
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yaml-language-server: $schema=https://coderabbit.ai/integrations/schema.v2.json
language: "en-US"
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[bandit]
exclude = tests
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root = true
[*]
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<p align="center">
<img src="https://raw.githubusercontent.com/huggingface/alignment-handbook/main/assets/handbook.png">
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Byte-compiled / optimized / DLL files
__pycache__/
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Making a release
> [!NOTE]
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TRL - Transformer Reinforcement Learning
<div style="text-align: center">
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*.bak
.gitattributes
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repos:
- repo: https://github.com/astral-sh/ruff-pre-commit
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Contributor Covenant Code of Conduct
We as members, contributors, and leaders pledge to make participation in our
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