# What does this PR do?
[Provide a short summary of what this PR does and why. Link to relevant
issues if applicable.]
Actually, the incorrect token also will hit `RepositoryNotFoundError`,
e.g.
```
$ llama model download --source huggingface --model-id Llama3.2-1B-Instruct:int4-qlora-eo8 --hf-token xx ### xx is incorrect token
----RepositoryNotFoundError--->
usage: llama model download [-h] [--source {meta,huggingface}] [--model-id MODEL_ID]
[--hf-token HF_TOKEN] [--meta-url META_URL]
[--max-parallel MAX_PARALLEL] [--ignore-patterns IGNORE_PATTERNS]
[--manifest-file MANIFEST_FILE]
llama model download: error: Repository 'meta-llama/Llama-3.2-1B-Instruct-QLORA_INT4_EO8' not found on the Hugging Face Hub.
so update to:
llama model download --source huggingface --model-id Llama3.2-1B-Instruct:int4-qlora-eo8 --hf-token xx
----RepositoryNotFoundError--->
usage: llama model download [-h] [--source {meta,huggingface}] [--model-id MODEL_ID]
[--hf-token HF_TOKEN] [--meta-url META_URL]
[--max-parallel MAX_PARALLEL] [--ignore-patterns IGNORE_PATTERNS]
[--manifest-file MANIFEST_FILE]
llama model download: error: Repository 'meta-llama/Llama-3.2-1B-Instruct-QLORA_INT4_EO8' not found on the Hugging Face Hub or incorrect Hugging Face token.
```
[//]: # (If resolving an issue, uncomment and update the line below)
[//]: # (Closes #[issue-number])
## Test Plan
[Describe the tests you ran to verify your changes with result
summaries. *Provide clear instructions so the plan can be easily
re-executed.*]
[//]: # (## Documentation)
Signed-off-by: reidliu <reid201711@gmail.com>
Co-authored-by: reidliu <reid201711@gmail.com>
# What does this PR do?
[Provide a short summary of what this PR does and why. Link to relevant
issues if applicable.]
Based on the cade:
6b1773d530/llama_stack/cli/download.py (L454)
and the test, it can use comma to specify multiple model ids. So update
the usage.
```
$ llama model download --source meta --model-id Llama3.2-1B,Llama3.2-3B
Please provide the signed URL for model Llama3.2-1B you received via email after visiting https://www.llama.com/llama-downloads/ (e.g., https://llama3-1.llamameta.net/*?Policy...):
Downloading checklist.chk ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% 156/156 bytes - 0:00:00
Downloading tokenizer.model ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% 2.2/2.2 MB - 0:00:00
Downloading params.json ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% 220/220 bytes - 0:00:00
Downloading consolidated.00.pth ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% 2.5/2.5 GB - 0:00:00
Successfully downloaded model to /Users/xx/.llama/checkpoints/Llama3.2-1B
[Optionally] To run MD5 checksums, use the following command: llama model verify-download --model-id Llama3.2-1B
Please provide the signed URL for model Llama3.2-3B you received via email after visiting https://www.llama.com/llama-downloads/ (e.g., https://llama3-1.llamameta.net/*?Policy...):
Downloading checklist.chk ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% 156/156 bytes - 0:00:00
Downloading tokenizer.model ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% 2.2/2.2 MB - 0:00:00
Downloading params.json ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% 220/220 bytes - 0:00:00
Downloading consolidated.00.pth ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100.0% 6.4/6.4 GB - 0:00:00
Successfully downloaded model to /Users/xx/.llama/checkpoints/Llama3.2-3B
$ llama model download --source huggingface --model-id Llama3.2-1B,Llama3.2-3B
original%2Fparams.json: 100%|██████████████████████████████████████████████████████████| 220/220 [00:00<00:00, 564kB/
Successfully downloaded model to /Users/xx/.llama/checkpoints/Llama3.2-1B
...
tokenizer.json: 100%|█████████████████████████████████████████████████████████████| 9.09M/9.09M [00:00<00:00, 9.18MB/s]
Successfully downloaded model to /Users/xxx/.llama/checkpoints/Llama3.2-3B
before:
$ llama model download --help
--model-id MODEL_ID See `llama model list` or `llama model list --show-all` for the list of available models
after:
$ llama model download --help
--model-id MODEL_ID See `llama model list` or `llama model list --show-all` for the list of available models. Specify multiple model IDs with commas, e.g. --model-id Llama3.2-1B,Llama3.2-3B
```
[//]: # (If resolving an issue, uncomment and update the line below)
[//]: # (Closes #[issue-number])
## Test Plan
[Describe the tests you ran to verify your changes with result
summaries. *Provide clear instructions so the plan can be easily
re-executed.*]
[//]: # (## Documentation)
Signed-off-by: reidliu <reid201711@gmail.com>
Co-authored-by: reidliu <reid201711@gmail.com>
# What does this PR do?
[Provide a short summary of what this PR does and why. Link to relevant
issues if applicable.]
Remove the empty line from help
```
before:
$ llama model download --help
--max-parallel MAX_PARALLEL
Maximum number of concurrent downloads
--ignore-patterns IGNORE_PATTERNS
<<<<<<<<<empty line>>>>>>>>>>
For source=huggingface, files matching any of the patterns are not downloaded. Defaults to ignoring
safetensors files to avoid downloading duplicate weights.
after:
$ llama model download --help
--max-parallel MAX_PARALLEL
Maximum number of concurrent downloads
--ignore-patterns IGNORE_PATTERNS
For source=huggingface, files matching any of the patterns are not downloaded. Defaults to ignoring
safetensors files to avoid downloading duplicate weights.
```
[//]: # (If resolving an issue, uncomment and update the line below)
[//]: # (Closes #[issue-number])
## Test Plan
[Describe the tests you ran to verify your changes with result
summaries. *Provide clear instructions so the plan can be easily
re-executed.*]
[//]: # (## Documentation)
Signed-off-by: reidliu <reid201711@gmail.com>
Co-authored-by: reidliu <reid201711@gmail.com>
llama-models should have extremely minimal cruft. Its sole purpose
should be didactic -- show the simplest implementation of the llama
models and document the prompt formats, etc.
This PR is the complement to
https://github.com/meta-llama/llama-models/pull/279
## Test Plan
Ensure all `llama` CLI `model` sub-commands work:
```bash
llama model list
llama model download --model-id ...
llama model prompt-format -m ...
```
Ran tests:
```bash
cd tests/client-sdk
LLAMA_STACK_CONFIG=fireworks pytest -s -v inference/
LLAMA_STACK_CONFIG=fireworks pytest -s -v vector_io/
LLAMA_STACK_CONFIG=fireworks pytest -s -v agents/
```
Create a fresh venv `uv venv && source .venv/bin/activate` and run
`llama stack build --template fireworks --image-type venv` followed by
`llama stack run together --image-type venv` <-- the server runs
Also checked that the OpenAPI generator can run and there is no change
in the generated files as a result.
```bash
cd docs/openapi_generator
sh run_openapi_generator.sh
```
# What does this PR do?
- Configured ruff linter to automatically fix import sorting issues.
- Set --exit-non-zero-on-fix to ensure non-zero exit code when fixes are
applied.
- Enabled the 'I' selection to focus on import-related linting rules.
- Ran the linter, and formatted all codebase imports accordingly.
- Removed the black dep from the "dev" group since we use ruff
Signed-off-by: Sébastien Han <seb@redhat.com>
[//]: # (If resolving an issue, uncomment and update the line below)
[//]: # (Closes #[issue-number])
## Test Plan
[Describe the tests you ran to verify your changes with result
summaries. *Provide clear instructions so the plan can be easily
re-executed.*]
[//]: # (## Documentation)
[//]: # (- [ ] Added a Changelog entry if the change is significant)
Signed-off-by: Sébastien Han <seb@redhat.com>
Lint check in main branch is failing. This fixes the lint check after we
moved to ruff in https://github.com/meta-llama/llama-stack/pull/921. We
need to move to a `ruff.toml` file as well as fixing and ignoring some
additional checks.
Signed-off-by: Yuan Tang <terrytangyuan@gmail.com>
# What does this PR do?
Adds description at the end of successful download the optionally run
the verify md5 checksums command.
## Test Plan
<img width="2004" alt="Screenshot 2024-11-19 at 12 11 37 PM"
src="https://github.com/user-attachments/assets/8d617aef-99f5-4c3b-b93c-eff3e68289ea">
## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the
other checks if that's the case).
- [x] Ran pre-commit to handle lint / formatting issues.
- [x] Read the [contributor
guideline](https://github.com/meta-llama/llama-stack/blob/main/CONTRIBUTING.md),
Pull Request section?
- [x] Updated relevant documentation.
- [x] Wrote necessary unit or integration tests.
---------
Co-authored-by: varunfb <vontimitta@devgpu004.eag5.facebook.com>
# What does this PR do?
remove another model_ pydantic namespace warning and convert old-style
'class Config' to new-style 'model_config' workaround.
also a whitespace change to get past -
flake8...................................................................Failed
llama_stack/cli/download.py:296:85: E226 missing whitespace around
arithmetic operator
llama_stack/cli/download.py:297:54: E226 missing whitespace around
arithmetic operator
## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the
other checks if that's the case).
- [x] Ran pre-commit to handle lint / formatting issues.
- [x] Read the [contributor
guideline](https://github.com/meta-llama/llama-stack/blob/main/CONTRIBUTING.md),
Pull Request section?
- [ ] Updated relevant documentation.
- [x] Wrote necessary unit or integration tests.
# What does this PR do?
Enables parallel downloads for `llama model download` CLI command. It is
rather necessary for folks having high bandwidth connections to the
Internet in order to download checkpoints quickly.
## Test Plan
* API Keys passed from Client instead of distro configuration
* delete distribution registry
* Rename the "package" word away
* Introduce a "Router" layer for providers
Some providers need to be factorized and considered as thin routing
layers on top of other providers. Consider two examples:
- The inference API should be a routing layer over inference providers,
routed using the "model" key
- The memory banks API is another instance where various memory bank
types will be provided by independent providers (e.g., a vector store
is served by Chroma while a keyvalue memory can be served by Redis or
PGVector)
This commit introduces a generalized routing layer for this purpose.
* update `apis_to_serve`
* llama_toolchain -> llama_stack
* Codemod from llama_toolchain -> llama_stack
- added providers/registry
- cleaned up api/ subdirectories and moved impls away
- restructured api/api.py
- from llama_stack.apis.<api> import foo should work now
- update imports to do llama_stack.apis.<api>
- update many other imports
- added __init__, fixed some registry imports
- updated registry imports
- create_agentic_system -> create_agent
- AgenticSystem -> Agent
* Moved some stuff out of common/; re-generated OpenAPI spec
* llama-toolchain -> llama-stack (hyphens)
* add control plane API
* add redis adapter + sqlite provider
* move core -> distribution
* Some more toolchain -> stack changes
* small naming shenanigans
* Removing custom tool and agent utilities and moving them client side
* Move control plane to distribution server for now
* Remove control plane from API list
* no codeshield dependency randomly plzzzzz
* Add "fire" as a dependency
* add back event loggers
* stack configure fixes
* use brave instead of bing in the example client
* add init file so it gets packaged
* add init files so it gets packaged
* Update MANIFEST
* bug fix
---------
Co-authored-by: Hardik Shah <hjshah@fb.com>
Co-authored-by: Xi Yan <xiyan@meta.com>
Co-authored-by: Ashwin Bharambe <ashwin@meta.com>
2024-09-17 19:51:35 -07:00
Renamed from llama_toolchain/cli/download.py (Browse further)
