build examples readmes with quarto (#3046)

* build examples readmes with quarto

* chore: formatting

* feat: dynamic build docs

* feat: add more model guides

* chore: format

* fix: collapse sidebar completely to have space for model guides

* fix: security protection for generated qmd

* fix: adjust collapse level, add new models, update links

---------

Co-authored-by: NanoCode012 <nano@axolotl.ai>
This commit is contained in:
Wing Lian
2025-12-25 07:17:25 -05:00
committed by GitHub
parent a6080df73c
commit 66a3de3629
11 changed files with 572 additions and 9 deletions

View File

@@ -29,15 +29,15 @@
## 🎉 Latest Updates
- 2025/12: Axolotl now includes support for [Kimi-Linear](https://github.com/axolotl-ai-cloud/axolotl/tree/main/examples/kimi-linear), [Plano-Orchestrator](https://github.com/axolotl-ai-cloud/axolotl/tree/main/examples/plano), [MiMo](https://github.com/axolotl-ai-cloud/axolotl/tree/main/examples/mimo), [InternVL 3.5](https://github.com/axolotl-ai-cloud/axolotl/tree/main/examples/internvl3_5), [Olmo3](https://github.com/axolotl-ai-cloud/axolotl/blob/main/examples/olmo3), [Trinity](https://github.com/axolotl-ai-cloud/axolotl/tree/main/examples/trinity), and [Ministral3](https://github.com/axolotl-ai-cloud/axolotl/blob/main/examples/ministral3).
- 2025/10: New model support has been added in Axolotl for: [Qwen3 Next](https://github.com/axolotl-ai-cloud/axolotl/blob/main/examples/qwen3-next), [Qwen2.5-vl, Qwen3-vl](https://github.com/axolotl-ai-cloud/axolotl/tree/main/examples/qwen2_5-vl), [Qwen3, Qwen3MoE](https://github.com/axolotl-ai-cloud/axolotl/tree/main/examples/qwen3), [Granite 4](https://github.com/axolotl-ai-cloud/axolotl/tree/main/examples/granite4), [HunYuan](https://github.com/axolotl-ai-cloud/axolotl/tree/main/examples/hunyuan), [Magistral 2509](https://github.com/axolotl-ai-cloud/axolotl/tree/main/examples/magistral#vision), [Apertus](https://github.com/axolotl-ai-cloud/axolotl/tree/main/examples/apertus), and [Seed-OSS](https://github.com/axolotl-ai-cloud/axolotl/tree/main/examples/seed-oss).
- 2025/12: Axolotl now includes support for [Kimi-Linear](https://docs.axolotl.ai/docs/models/kimi-linear.html), [Plano-Orchestrator](https://docs.axolotl.ai/docs/models/plano.html), [MiMo](https://docs.axolotl.ai/docs/models/mimo.html), [InternVL 3.5](https://docs.axolotl.ai/docs/models/internvl3_5.html), [Olmo3](https://docs.axolotl.ai/docs/models/olmo3.html), [Trinity](https://docs.axolotl.ai/docs/models/trinity.html), and [Ministral3](https://docs.axolotl.ai/docs/models/ministral3.html).
- 2025/10: New model support has been added in Axolotl for: [Qwen3 Next](https://docs.axolotl.ai/docs/models/qwen3-next.html), [Qwen2.5-vl, Qwen3-vl](https://github.com/axolotl-ai-cloud/axolotl/tree/main/examples/qwen2_5-vl), [Qwen3, Qwen3MoE](https://docs.axolotl.ai/docs/models/qwen3.html), [Granite 4](https://docs.axolotl.ai/docs/models/granite4.html), [HunYuan](https://docs.axolotl.ai/docs/models/hunyuan.html), [Magistral 2509](https://docs.axolotl.ai/docs/models/magistral/vision.html), [Apertus](https://docs.axolotl.ai/docs/models/apertus.html), and [Seed-OSS](https://docs.axolotl.ai/docs/models/seed-oss.html).
- 2025/09: Axolotl now has text diffusion training. Read more [here](https://github.com/axolotl-ai-cloud/axolotl/tree/main/src/axolotl/integrations/diffusion).
- 2025/08: QAT has been updated to include NVFP4 support. See [PR](https://github.com/axolotl-ai-cloud/axolotl/pull/3107).
- 2025/07:
- ND Parallelism support has been added into Axolotl. Compose Context Parallelism (CP), Tensor Parallelism (TP), and Fully Sharded Data Parallelism (FSDP) within a single node and across multiple nodes. Check out the [blog post](https://huggingface.co/blog/accelerate-nd-parallel) for more info.
- Axolotl adds more models: [GPT-OSS](https://github.com/axolotl-ai-cloud/axolotl/tree/main/examples/gpt-oss), [Gemma 3n](https://github.com/axolotl-ai-cloud/axolotl/tree/main/examples/gemma3n), [Liquid Foundation Model 2 (LFM2)](https://github.com/axolotl-ai-cloud/axolotl/tree/main/examples/lfm2), and [Arcee Foundation Models (AFM)](https://github.com/axolotl-ai-cloud/axolotl/tree/main/examples/afm).
- Axolotl adds more models: [GPT-OSS](https://docs.axolotl.ai/docs/models/gpt-oss.html), [Gemma 3n](https://docs.axolotl.ai/docs/models/gemma3n.html), [Liquid Foundation Model 2 (LFM2)](https://docs.axolotl.ai/docs/models/LiquidAI.html), and [Arcee Foundation Models (AFM)](https://docs.axolotl.ai/docs/models/arcee.html).
- FP8 finetuning with fp8 gather op is now possible in Axolotl via `torchao`. Get started [here](https://docs.axolotl.ai/docs/mixed_precision.html#sec-fp8)!
- [Voxtral](https://github.com/axolotl-ai-cloud/axolotl/tree/main/examples/voxtral), [Magistral 1.1](https://github.com/axolotl-ai-cloud/axolotl/tree/main/examples/magistral), and [Devstral](https://github.com/axolotl-ai-cloud/axolotl/tree/main/examples/devstral) with mistral-common tokenizer support has been integrated in Axolotl!
- [Voxtral](https://docs.axolotl.ai/docs/models/voxtral.html), [Magistral 1.1](https://docs.axolotl.ai/docs/models/magistral.html), and [Devstral](https://docs.axolotl.ai/docs/models/devstral.html) with mistral-common tokenizer support has been integrated in Axolotl!
- TiledMLP support for single-GPU to multi-GPU training with DDP, DeepSpeed and FSDP support has been added to support Arctic Long Sequence Training. (ALST). See [examples](https://github.com/axolotl-ai-cloud/axolotl/tree/main/examples/alst) for using ALST with Axolotl!
- 2025/05: Quantization Aware Training (QAT) support has been added to Axolotl. Explore the [docs](https://docs.axolotl.ai/docs/qat.html) to learn more!
@@ -46,8 +46,8 @@
<summary>Expand older updates</summary>
- 2025/03: Axolotl has implemented Sequence Parallelism (SP) support. Read the [blog](https://huggingface.co/blog/axolotl-ai-co/long-context-with-sequence-parallelism-in-axolotl) and [docs](https://docs.axolotl.ai/docs/sequence_parallelism.html) to learn how to scale your context length when fine-tuning.
- 2025/06: Magistral with mistral-common tokenizer support has been added to Axolotl. See [examples](https://github.com/axolotl-ai-cloud/axolotl/tree/main/examples/magistral) to start training your own Magistral models with Axolotl!
- 2025/04: Llama 4 support has been added in Axolotl. See [examples](https://github.com/axolotl-ai-cloud/axolotl/tree/main/examples/llama-4) to start training your own Llama 4 models with Axolotl's linearized version!
- 2025/06: Magistral with mistral-common tokenizer support has been added to Axolotl. See [docs](https://docs.axolotl.ai/docs/models/magistral.html) to start training your own Magistral models with Axolotl!
- 2025/04: Llama 4 support has been added in Axolotl. See [docs](https://docs.axolotl.ai/docs/models/llama-4.html) to start training your own Llama 4 models with Axolotl's linearized version!
- 2025/03: (Beta) Fine-tuning Multimodal models is now supported in Axolotl. Check out the [docs](https://docs.axolotl.ai/docs/multimodal.html) to fine-tune your own!
- 2025/02: Axolotl has added LoRA optimizations to reduce memory usage and improve training speed for LoRA and QLoRA in single GPU and multi-GPU training (DDP and DeepSpeed). Jump into the [docs](https://docs.axolotl.ai/docs/lora_optims.html) to give it a try.
- 2025/02: Axolotl has added GRPO support. Dive into our [blog](https://huggingface.co/blog/axolotl-ai-co/training-llms-w-interpreter-feedback-wasm) and [GRPO example](https://github.com/axolotl-ai-cloud/grpo_code) and have some fun!

View File

@@ -1,6 +1,8 @@
project:
type: website
pre-render: docs/scripts/generate_config_docs.py
pre-render:
- docs/scripts/generate_config_docs.py
- docs/scripts/generate_examples_docs.py
quartodoc:
dir: docs/api
@@ -240,6 +242,46 @@ website:
- docs/getting-started.qmd
- docs/installation.qmd
- docs/inference.qmd
- section: "Model Guides"
contents:
- docs/models/kimi-linear.qmd
- docs/models/plano.qmd
- docs/models/mimo.qmd
- docs/models/internvl3_5.qmd
- docs/models/olmo3.qmd
- docs/models/trinity.qmd
- docs/models/arcee.qmd
- docs/models/mistral.qmd
- section: "Ministral3"
contents:
- docs/models/ministral3.qmd
- docs/models/ministral3/think.qmd
- docs/models/ministral3/vision.qmd
- section: "Magistral"
contents:
- docs/models/magistral.qmd
- docs/models/magistral/think.qmd
- docs/models/magistral/vision.qmd
- docs/models/ministral.qmd
- docs/models/mistral-small.qmd
- docs/models/voxtral.qmd
- docs/models/devstral.qmd
- docs/models/llama-4.qmd
- docs/models/llama-2.qmd
- docs/models/qwen3-next.qmd
- docs/models/qwen3.qmd
- docs/models/gemma3n.qmd
- docs/models/apertus.qmd
- docs/models/gpt-oss.qmd
- docs/models/seed-oss.qmd
- docs/models/phi.qmd
- docs/models/smolvlm2.qmd
- docs/models/granite4.qmd
- docs/models/LiquidAI.qmd
- docs/models/hunyuan.qmd
- docs/models/jamba.qmd
- docs/models/orpheus.qmd
- docs/cli.qmd
- docs/telemetry.qmd
- docs/config-reference.qmd

2
docs/.gitignore vendored
View File

@@ -3,3 +3,5 @@ _site/
/api/*.qmd
/api/*.html
config-reference.qmd
models/**/*.qmd
models/**/*.html

View File

@@ -0,0 +1,90 @@
examples:
# December 2025
- name: kimi-linear
title: Kimi Linear
- name: plano
title: Plano Orchestrator
- name: mimo
title: MiMo
- name: internvl3_5
title: InternVL 3.5
# AllenAI
- name: olmo3
title: OLMo 3
# ArceeAI
- name: trinity
title: Trinity
- name: arcee
title: Arcee AFM
# MistralAI
- name: ministral3/think
title: Ministral 3 Thinking
- name: ministral3/vision
title: Ministral 3 Vision
- name: magistral/think
title: Magistral Thinking
- name: magistral/vision
title: Magistral Vision
- name: ministral
title: Ministral
- name: mistral-small
title: Mistral Small 3.1/3.2
- name: voxtral
title: Voxtral
- name: devstral
title: Devstral
- name: mistral
title: Mistral 7B
# Meta
- name: llama-4
title: Llama 4
- name: llama-2
title: Llama 2
# Alibaba
- name: qwen3-next
title: Qwen 3 Next
- name: qwen3
title: Qwen 3
# Google
- name: gemma3n
title: Gemma 3n
# Swiss AI
- name: apertus
title: Apertus
# GPT-OSS
- name: gpt-oss
title: GPT-OSS
- name: seed-oss
title: Seed-OSS
# Microsoft
- name: phi
title: Phi
# SmolVLM
- name: smolvlm2
title: SmolVLM 2
# IBM
- name: granite4
title: Granite 4
# LiquidAI
- name: LiquidAI
title: Liquid Foundation Models 2
# Other
- name: hunyuan
title: Hunyuan
- name: jamba
title: Jamba
- name: orpheus
title: Orpheus

View File

@@ -0,0 +1,424 @@
"""
auto generate example docs from allowlist
"""
import re
import shutil
import sys
from pathlib import Path
import yaml
# Paths
THIS = Path(__file__).resolve()
ROOT = THIS.parents[2] # repo root (docs/scripts -> docs -> ROOT)
EXAMPLES_DIR = ROOT / "examples"
OUTPUT_DIR = ROOT / "docs" / "models"
ALLOWLIST_YML = THIS.parent / "examples-allowlist.yml"
def slugify(name: str) -> str:
"""Convert a name to a slug (lowercase, hyphens for spaces)."""
s = re.sub(r"[^a-zA-Z0-9\s\-]+", "", name.strip())
s = re.sub(r"\s+", "-", s).strip("-").lower()
return s or "example"
def read_allowlist():
with open(ALLOWLIST_YML, "r", encoding="utf-8") as f:
data = yaml.safe_load(f) or {}
items = data.get("examples", [])
if not isinstance(items, list):
raise ValueError("`examples` must be a list in examples-allowlist.yml")
return items
def find_readme(folder: Path) -> Path | None:
for name in ("README.md", "Readme.md", "readme.md"):
p = folder / name
if p.exists():
return p
return None
def remove_first_h1(md: str) -> tuple[str, str | None]:
"""
Remove the first H1 from markdown and return (modified_md, h1_title).
The H1 is removed since we use the frontmatter title instead.
"""
lines = md.splitlines()
result = []
h1_title = None
skipped_first = False
for line in lines:
if not skipped_first and line.startswith("# "):
h1_title = line[2:].strip()
skipped_first = True
continue
result.append(line)
return "\n".join(result), h1_title
IMG_RE = re.compile(r"!\[[^\]]*\]\(([^)]+)\)")
LINK_RE = re.compile(r"\[([^\]]+)\]\(([^)]+)\)")
def rewrite_and_copy_assets(md: str, src_dir: Path, dest_assets_root: Path) -> str:
"""
Copy local image assets referenced in markdown to
docs/examples/assets/... and rewrite the links.
"""
dest_assets = dest_assets_root / "assets"
def repl(m):
url = m.group(1).strip()
if re.match(r"^(https?:)?//", url):
return m.group(0) # leave remote URLs
src_path = (src_dir / url).resolve()
if not src_path.exists():
return m.group(0) # leave as-is if not found
rel = src_path.relative_to(src_dir)
# Create a unique asset path based on source directory name
asset_name = src_dir.name.replace("/", "-")
dest_path = dest_assets / asset_name / rel
dest_path.parent.mkdir(parents=True, exist_ok=True)
shutil.copy2(src_path, dest_path)
new_rel = f"assets/{asset_name}/{rel.as_posix()}"
return m.group(0).replace(url, new_rel)
return IMG_RE.sub(repl, md)
def rewrite_readme_links(
md: str,
src_dir: Path,
examples_dir: Path,
parent_index_only: set,
current_src_path: str,
allowlist_entries: set,
current_output_path: str,
) -> str:
"""
Rewrite links between README.md files to point to the correct .qmd files.
"""
def repl(m):
text = m.group(1)
url = m.group(2).strip()
# Skip remote URLs and anchor links
if re.match(r"^(https?:)?//", url) or url.startswith("#"):
return m.group(0)
# Skip non-markdown files
if not url.lower().endswith(".md"):
return m.group(0)
# Resolve the target path
try:
target_path = (src_dir / url).resolve()
# Check if target is outside examples_dir
try:
rel_path = target_path.relative_to(examples_dir)
except ValueError:
# Target is outside examples_dir, leave as-is
return m.group(0)
parts = list(rel_path.parts)
# Determine the output path for the target
if len(parts) > 0 and parts[-1].lower() in ("readme.md", "readme"):
# This is a README link
if len(parts) == 1:
# Link to root README -> index.qmd
target_output = "index.qmd"
elif len(parts) == 2:
if parts[0] == ".":
# Current directory README
target_output = "index.qmd"
else:
# subdir/README.md
parent_dir = parts[0]
if parent_dir in parent_index_only:
target_output = f"{parent_dir}/index.qmd"
else:
target_output = f"{parent_dir}.qmd"
else:
# Deeper nesting: parent/subdir/README.md
# Build the full path like "parent/subdir"
full_path = "/".join(parts[:-1]) # Remove README.md
# Check if this exact path is in allowlist
if full_path in allowlist_entries:
# This is a sub-entry with its own entry -> use .qmd
target_output = f"{full_path}.qmd"
elif parts[0] == ".":
# ./subdir/README.md -> check if subdir has own entry
subdir = parts[1]
if subdir in parent_index_only:
target_output = f"{subdir}/index.qmd"
else:
target_output = f"{subdir}.qmd"
else:
# parent/subdir where parent doesn't have own entry
target_output = f"{full_path}/index.qmd"
else:
# Regular .md file -> convert to .qmd, keep path structure
target_output = "/".join(parts)[:-2] + "qmd"
# Compute relative path from current output file to target
current_parts = current_output_path.split("/")
target_parts = target_output.split("/")
# Special case: if current is a subdir file and target is a single-component file at root
# Example: current="magistral/vision", target="magistral.qmd"
if len(current_parts) > 1 and len(target_parts) == 1:
# Current is in subdir, target is at root level
# Go up to root: ../ for each level
up_count = len(current_parts) - 1
rel_parts = [".."] * up_count + [target_parts[0]]
new_url = "/".join(rel_parts)
else:
# Find common prefix
i = 0
while (
i < min(len(current_parts) - 1, len(target_parts))
and current_parts[i] == target_parts[i]
):
i += 1
# Build relative path: go up (../) then down to target
up_count = len(current_parts) - 1 - i
rel_parts = [".."] * up_count + target_parts[i:]
if not rel_parts or rel_parts == [".."]:
# Points to same directory or parent
new_url = "/".join(rel_parts) if rel_parts else "."
else:
new_url = "/".join(rel_parts)
return f"[{text}]({new_url})"
except (ValueError, IndexError):
return m.group(0)
return LINK_RE.sub(repl, md)
def write_qmd(out_path: Path, title: str, body_md: str):
out_path.parent.mkdir(parents=True, exist_ok=True)
fm = f"---\ntitle: {title!r}\nexecute:\n eval: false\nformat:\n html:\n toc: true\n---\n\n"
out_path.write_text(fm + body_md, encoding="utf-8")
def update_quarto_yml(generated: list[tuple[str, str, str]]):
"""
Update _quarto.yml with the generated example files in the correct order.
This keeps the sidebar in sync with the allowlist.
Model Guides is now nested under "Getting Started" section.
Creates nested sections for models with sub-entries (e.g., magistral, ministral3).
Parent pages are now flat files (e.g., ministral3.qmd) with sub-pages in subdirs.
"""
quarto_yml = ROOT / "_quarto.yml"
if not quarto_yml.exists():
print(f"[WARN] {quarto_yml} not found, skipping update", file=sys.stderr)
return
content = quarto_yml.read_text(encoding="utf-8")
# First pass: find all parents that have sub-entries
parents_with_subs = set()
for path, _name, _title in generated:
if "/" in path:
parent = path.split("/")[0]
parents_with_subs.add(parent)
# Build the YAML contents while preserving allowlist order
lines = []
processed_sections = set()
for path, _name, title in generated:
# Check if this is a parent page that has sub-pages
if path in parents_with_subs:
# This is a parent page with sub-pages - create a nested section
if path not in processed_sections:
processed_sections.add(path)
section_title = (
title or path.replace("-", " ").replace("_", " ").title()
)
lines.append(f' - section: "{section_title}"')
lines.append(" contents:")
# Add the parent page first
lines.append(f" - docs/models/{path}.qmd")
# Then add all sub-pages
for sub_path, _sub_name, _sub_title in generated:
if "/" in sub_path and sub_path.split("/")[0] == path:
lines.append(
f" - docs/models/{sub_path}.qmd"
)
elif "/" not in path:
# This is a flat item with no sub-pages
# Skip if it was already included as part of a parent section
if path not in processed_sections:
lines.append(f" - docs/models/{path}.qmd")
yaml_content = "\n".join(lines) + "\n"
# Pattern to match only the Model Guides contents, stopping at the next item
# in Getting Started (lines starting with 12 spaces: same level as the section)
pattern = r'( - section: "Model Guides"\n contents:)([^\n]*|.*?)(?=\n - |\n - section:|\n\nformat:)'
def replacement(match):
prefix = match.group(1)
return prefix + "\n" + yaml_content
new_content = re.sub(pattern, replacement, content, flags=re.DOTALL)
if new_content != content:
quarto_yml.write_text(new_content, encoding="utf-8")
print(f"Updated {quarto_yml}")
else:
print(f"No changes needed for {quarto_yml}")
def main():
allow = read_allowlist()
if not EXAMPLES_DIR.exists():
print(f"[WARN] {EXAMPLES_DIR} not found", file=sys.stderr)
return
(OUTPUT_DIR / "assets").mkdir(parents=True, exist_ok=True)
# First pass: identify which parents have their own entry vs only sub-entries
parent_entries = set() # Parents that have their own entry
parent_with_subs = set() # Parents that have sub-entries
allowlist_entries = set() # All entries in allowlist
for item in allow:
if isinstance(item, str):
name = item
else:
name = item.get("name")
allowlist_entries.add(name)
if "/" in name:
parent = name.split("/")[0]
parent_with_subs.add(parent)
else:
parent_entries.add(name)
# Parents with subs that DON'T have their own entry -> use index.qmd
parent_index_only = parent_with_subs - parent_entries
generated = []
seen_dirs = set() # Track which parent directories we've created index for
for item in allow:
if isinstance(item, str):
name = item
title = None
else:
name = item.get("name")
title = item.get("title")
if not name:
print(f"[WARN] Skipping item without name: {item}", file=sys.stderr)
continue
src_dir = EXAMPLES_DIR / name
if not src_dir.exists() or not src_dir.is_dir():
print(f"[WARN] Skipping {name} (not a directory)", file=sys.stderr)
continue
readme = find_readme(src_dir)
if not readme:
print(f"[WARN] Skipping {name} (no README.md)", file=sys.stderr)
continue
md = readme.read_text(encoding="utf-8")
# Determine output path first (needed for link rewriting)
parts = name.split("/")
if len(parts) == 1:
# Simple case: no subdirectory
out_path = OUTPUT_DIR / f"{parts[0]}.qmd"
sidebar_path = parts[0]
else:
# Has subdirectory: e.g., magistral/think
parent = parts[0]
child = "-".join(parts[1:]) # handle nested subdirs
out_path = OUTPUT_DIR / parent / f"{child}.qmd"
sidebar_path = f"{parent}/{child}"
# Remove the first H1 (we use frontmatter title instead)
md, _ = remove_first_h1(md)
# Rewrite links between README files
md = rewrite_readme_links(
md,
src_dir,
EXAMPLES_DIR,
parent_index_only,
name,
allowlist_entries,
sidebar_path,
)
md = rewrite_and_copy_assets(md, src_dir, OUTPUT_DIR)
# Handle parent page generation for sub-entries
if len(parts) > 1:
# Has subdirectory: e.g., magistral/think
parent = parts[0]
# Create parent.qmd if not already done and parent doesn't have own entry
if parent not in seen_dirs and parent in parent_index_only:
parent_readme = find_readme(EXAMPLES_DIR / parent)
if parent_readme:
parent_md = parent_readme.read_text(encoding="utf-8")
parent_md, _ = remove_first_h1(parent_md)
parent_md = rewrite_readme_links(
parent_md,
EXAMPLES_DIR / parent,
EXAMPLES_DIR,
parent_index_only,
parent,
allowlist_entries,
parent,
)
parent_md = rewrite_and_copy_assets(
parent_md, EXAMPLES_DIR / parent, OUTPUT_DIR
)
parent_title = parent.replace("-", " ").replace("_", " ").title()
write_qmd(OUTPUT_DIR / f"{parent}.qmd", parent_title, parent_md)
generated.append((parent, parent, parent_title))
seen_dirs.add(parent)
if not title:
title = name.replace("/", " ").replace("-", " ").title()
write_qmd(out_path, title, md)
generated.append((sidebar_path, name, title))
# Index page - preserve allowlist order
if generated:
listing = "\n".join(
[f"- [{title}]({path}.qmd)" for path, name, title in generated]
)
index_md = (
"# Model Guides\n\nBelow are the curated examples for training various model architectures:\n\n"
+ listing
+ "\n"
)
index_fm = (
"---\nexecute:\n eval: false\nformat:\n html:\n toc: true\n---\n\n"
)
(OUTPUT_DIR / "index.qmd").write_text(index_fm + index_md, encoding="utf-8")
# Auto-update _quarto.yml to keep sidebar in sync
update_quarto_yml(generated)
if __name__ == "__main__":
main()

View File

@@ -5,6 +5,7 @@ This guide covers fine-tuning [Magistral Small 2507](https://huggingface.co/mist
## Prerequisites
Before starting, ensure you have:
- Installed Axolotl (see [main README](../README.md))
## Getting Started

View File

@@ -5,7 +5,8 @@ This guide covers fine-tuning [Magistral Small 2509](https://huggingface.co/mist
## Prerequisites
Before starting, ensure you have:
- Installed Axolotl from source (see [main README](../README.md#getting-started))
- Installed Axolotl from source (see [main README](../README.md))
## Getting started

View File

@@ -5,6 +5,7 @@ This guide covers fine-tuning [Ministral3 2512](https://huggingface.co/collectio
## Prerequisites
Before starting, ensure you have:
- Installed Axolotl (see [main README](../README.md))
## Getting Started

View File

@@ -5,7 +5,8 @@ This guide covers fine-tuning [Ministral3 2512](https://huggingface.co/collectio
## Prerequisites
Before starting, ensure you have:
- Installed Axolotl from source (see [main README](../README.md#getting-started))
- Installed Axolotl from source (see [main README](../README.md))
## Getting started

View File

@@ -5,6 +5,7 @@ This guide covers fine-tuning [Mistral Small 3.1](mistralai/Mistral-Small-3.1-24
## Prerequisites
Before starting, ensure you have:
- Installed Axolotl (see [Installation docs](https://docs.axolotl.ai/docs/installation.html))
## Getting Started