Commit graph

9 commits

Author SHA1 Message Date
Ashwin Bharambe
71a905e93f Allow overridding checkpoint_dir via config 2024-10-18 14:28:06 -07:00
Ashwin Bharambe
09b793c4d6 Fix fp8 implementation which had bit-rotten a bit
I only tested with "on-the-fly" bf16 -> fp8 conversion, not the "load
from fp8" codepath.

YAML I tested with:

```
providers:
  - provider_id: quantized
    provider_type: meta-reference-quantized
    config:
      model: Llama3.1-8B-Instruct
      quantization:
        type: fp8
```
2024-10-15 13:57:01 -07:00
Ashwin Bharambe
1ff0476002 Split off meta-reference-quantized provider 2024-10-10 16:03:19 -07:00
Dalton Flanagan
7a8aa775e5
JSON serialization for parallel processing queue (#232)
* send/recv pydantic json over socket

* fixup

* address feedback

* bidirectional wrapper

* second round of feedback
2024-10-09 17:24:12 -04:00
Xi Yan
4d5f7459aa
[bugfix] Fix logprobs on meta-reference impl (#213)
* fix log probs

* add back LogProbsConfig

* error handling

* bugfix
2024-10-07 19:42:39 -07:00
Ashwin Bharambe
0a3999a9a4
Use inference APIs for executing Llama Guard (#121)
We should use Inference APIs to execute Llama Guard instead of directly needing to use HuggingFace modeling related code. The actual inference consideration is handled by Inference.
2024-09-28 15:40:06 -07:00
Russell Bryant
5828ffd53b
inference: Fix download command in error msg (#133)
I got this error message and tried to the run the command presented
and it didn't work. The model needs to be give with `--model-id`
instead of as a positional argument.

Signed-off-by: Russell Bryant <rbryant@redhat.com>
2024-09-27 13:31:11 -07:00
Ashwin Bharambe
56aed59eb4
Support for Llama3.2 models and Swift SDK (#98) 2024-09-25 10:29:58 -07:00
Ashwin Bharambe
9487ad8294
API Updates (#73)
* 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/inference/meta_reference/generation.py (Browse further)