Commit Graph

827 Commits

Author SHA1 Message Date
OlivierDehaene fa8a8e05af
fix(router): fix openapi and add jsonschema validation (#1578) 2024-02-21 11:05:32 +01:00
drbh c9f4c1af31
fix: refactor syntax to correctly include structs (#1580)
This PR fixes a compilation bug related to conditionally adding docs
behind a feature flag
2024-02-20 10:38:35 -05:00
drbh df23062574
improve endpoint support (#1577)
small PR to add a new interface endpoint behind a feature
2024-02-20 14:04:51 +01:00
Nicolas Patry d19c768cb8
Fix mistral with length > window_size for long prefills (rotary doesn't create long enough cos, sin). (#1571)
# What does this PR do?

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Fixes # (issue)


## Before submitting
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2024-02-19 15:23:12 +01:00
OlivierDehaene 4139054b82
v1.4.1 (#1568) 2024-02-16 17:50:57 +01:00
OlivierDehaene 0f2daad8b9
feat: add chat template struct to avoid tuple ordering errors (#1570) 2024-02-16 16:37:32 +01:00
OlivierDehaene 9946165ee0
chore: add pre-commit (#1569) 2024-02-16 11:58:58 +01:00
Aaron Mihalik 142cdabed3
Bugfix: eos and bos tokens positions are inconsistent (#1567) 2024-02-16 11:44:04 +01:00
Aaron Mihalik c55abac384
Added `name` field to OpenAI compatible API Messages (#1563)
# What does this PR do?

Literally just adds the name field to the Message class.

I verified this change by building a new docker container (using the
`Dockerfile` in the repo) and trialing with a `chat_template` that uses
the `name` field.

Here's the previous behavior:

Input messages:
```
{
"messages": [
 {"role": "system", "content": "You are a succinct but helpful AI Assistant listening to a chat server.  Address everyone by @<username>"},
 {"role": "user", "name": "Aaron", "content": "Hello There!"},
 {"role": "assistant", "content": "  Hello @Aaron! How can I assist you today?"},
 {"role": "user", "name": "Sally", "content": "Hiya everyone.  Is @Aaron is this room?"}
],
  "model": "meta-llama/Llama-2-7b-chat-hf"
}
```

Response before the modification:
```
Hello @Aaron! Yes, you are in the chat room. How can I assist you today? 😊

Hiya everyone! *waves* It's great to see you all here. Is there something on your mind that you'd like to talk about or ask? I'm here to listen and help in any way I can. 🤖
```

Response after my modification:
```
Hello @Sally! Yes, @Aaron is currently in the chat room. How may I assist you today?
```

Fixes #1558 


## Before submitting
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## Who can review?
@Narsil

---------

Co-authored-by: Aaron Mihalik <aaron.mihalik@parsons.us>
Co-authored-by: drbh <david.richard.holtz@gmail.com>
2024-02-15 13:30:31 -05:00
drbh cef0553d59
Outlines guided generation (#1539)
This WIP PR starts to add grammar support via outlines, currently this
PR supports very simple regex grammars and does not optimize for
precompiling or caching grammar fsm's.

todo:
- [X] add simple outlines guidance to `NextTokenChooser`
- [X] update protos for grammar
- [X] update generation params API
- [X] constrain simple grammar
- [ ] support parsing more complex grammar into fsm
- [ ] support all outline support grammar types
- [ ] explore optimizations to avoid recompiling grammars

guided request
```bash
curl -s 'http://localhost:3000/generate' \
--header 'Content-Type: application/json' \
--data-raw '{
    "inputs": "make an email for david: \n",
    "parameters": {
        "max_new_tokens": 6,
        "grammar": "[\\w-]+@([\\w-]+\\.)+[\\w-]+"
    }
}' | jq
```
response
```json
{
  "generated_text": "david@example.com"
}
```

unguided request
```bash
curl -s 'http://localhost:3000/generate' \
--header 'Content-Type: application/json' \
--data '{
    "inputs": "make an email for david: \n",
    "parameters": {
        "max_new_tokens": 6
    }
}' | jq
```
response
```json
{
  "generated_text": "    email = 'david"
}
```
2024-02-15 10:28:10 +01:00
Nicolas Patry 4c2848b24b
Small cleanup. (#1560)
Using a single `os.getenv` statement instead of multiple.
Should make truthful values easier to catch

In the end didn't move towards full CLI because modifying globals in
Python is error prone (depends on code import order).

Added an error when mamba is launched with TP.


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2024-02-14 15:30:07 +01:00
Nicolas Patry d6b0fb9e25
Improving mamba runtime by using updates (#1552)
- Move float16 to bfloat16, which has less imprecisions (load test are
  failing with the update kernels + f16, all working under bf16).

  Another note, is that we are not respecting the layer norm in f32
  defined in the configuration (this is OK in my book, but that could
  impact the f16 precision)

- Moved to update kernels. Triton overhead is super high, removed by
  switching to cuda graphs works great (update cuda graph is available
  in TRT-LLM if needed, seems *exactly* like the regular ssm kernel.

- Moved inference_params struct in order to make only 2 tensors, to
  reduce the overhead of copying back and forth to the cuda graphs.

- Left over overhead seems entirely in the tokenization bit. (Still 4
  copies are paid before launching the graph)


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## Before submitting
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2024-02-14 09:54:10 +01:00
Nicolas Patry 7671a419a0
Upgrade intermediary layer for nvidia too. (#1557)
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## Before submitting
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2024-02-13 22:46:16 +01:00
Nicolas Patry 6f68bb14c7
Fixing glibc version in the runtime. (#1556)
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2024-02-13 17:43:47 +01:00
drbh 246ad39d04
feat: add deserialize_with that handles strings or objects with content (#1550)
This PR adds a simple custom `deserialize_with` function that parses a
string or an object with a content property. This should help support
more token configuration files stored on the hub
2024-02-13 10:01:02 -05:00
OlivierDehaene 0d794af6a5
feat: experimental support for cuda graphs (#1428)
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
2024-02-12 10:09:29 +01:00
OlivierDehaene 532146338b
feat(router): add max_batch_size (#1542)
Some hardware require a maximum batch size.
2024-02-09 12:38:41 +01:00
Ilyas Moutawwakil a4e5801684
ROCm AWQ support (#1514)
# What does this PR do?

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This PR adds the possibility to run AWQ models with Exllama/GPTQ
kernels, specifically for ROCm devices that support Exllama kernels but
not AWQ's GEMM.

This is done by :
- un-packing, reordering and re-packing AWQ weights when `--quantize
gptq` but the model's `quant_method=awq`.
- avoiding overflows when adding 1 to zeros in exllama and triton.

Ref: https://github.com/casper-hansen/AutoAWQ/pull/313

## Before submitting
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other checks if that's the case).
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guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-requests),
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---------

Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
2024-02-09 10:45:16 +01:00
drbh c5ef81bed5
chore: bump ci rust version (#1543)
This PR bumps the rust toolchain in CI to resolve the CI build issue

```bash
  Downloaded crossbeam-utils v0.8.19
  Downloaded crc32fast v1.3.2
error: failed to compile `text-generation-router v1.4.0 (/home/runner/work/text-generation-inference/text-generation-inference/router)`, intermediate artifacts can be found at `/home/runner/work/text-generation-inference/text-generation-inference/target`

Caused by:
  package `clap_lex v0.7.0` cannot be built because it requires rustc 1.74 or newer, while the currently active rustc version is 1.71.0
  Either upgrade to rustc 1.74 or newer, or use
  cargo update -p clap_lex@0.7.0 --precise ver
  where `ver` is the latest version of `clap_lex` supporting rustc 1.71.0
make: *** [Makefile:12: install-router] Error 101
```
2024-02-09 10:32:04 +01:00
OlivierDehaene 09b7c26bbd
feat(server): add frequency penalty (#1541) 2024-02-08 18:41:25 +01:00
Jason Stillerman 39af000cb9
Update to peft 0.8.2 (#1537)
# What does this PR do?

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## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the
other checks if that's the case).
- [x] Did you read the [contributor
guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-requests),
      Pull Request section?
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[forum](https://discuss.huggingface.co/)? Please add a link
     to it if that's the case.
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2024-02-08 12:44:04 +01:00
drbh bd405e035b
Impl simple mamba model (#1480)
This draft PR is a work in progress implementation of the mamba model.
This PR currently loads weights, and produces correct logits after a
single pass.

This PR still needs to correctly integrate this model so it produces
tokens as expected, and apply optimization to avoid all copies during
runtime/unnecessary operations.

#### Helpful resources
[Mamba: Linear-Time Sequence Modeling with Selective State Spaces
(Albert Gu and Tri Dao)](https://arxiv.org/abs/2312.00752)
https://github.com/johnma2006/mamba-minimal

https://github.com/huggingface/candle/blob/main/candle-examples/examples/mamba-minimal/model.rs
https://github.com/huggingface/transformers/pull/28094

Notes: this dev work is currently targeting `state-spaces/mamba-130m`,
so if you want to test please use that model. Additionally when starting
the router the prefill needs to be limited: `cargo run --
--max-batch-prefill-tokens 768 --max-input-length 768`


## Update / Current State

Integration tests have been added and basic functionality such as model
loading is supported.

```bash
cd integration-tests
pytest -vv models/test_fused_kernel_mamba.py
```
- [x] add tests
- [x] load model
- [x] make simple request 
- [ ] resolve warmup issue
- [ ] resolve output issues


fetching models tested during dev
```bash
text-generation-server download-weights state-spaces/mamba-130m
text-generation-server download-weights state-spaces/mamba-1.4b
text-generation-server download-weights state-spaces/mamba-2.8b
```

The server can be run 
```bash
cd server
 MASTER_ADDR=127.0.0.1 MASTER_PORT=5555 python text_generation_server/cli.py serve state-spaces/mamba-2.8b
```

router
```bash
cargo run
```

make a request
```bash
curl -s localhost:3000/generate \
    -X POST \
    -d '{"inputs":"What is Deep Learning?","parameters":{"max_new_tokens":20}}' \
    -H 'Content-Type: application/json' | jq
```

response
```json
{
  "generated_text": "\n\nDeep learning is a machine learning technique that uses a deep neural network to learn from data."
}
```

---------

Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
2024-02-08 10:19:45 +01:00
drbh 1734540211
feat: use existing add_generation_prompt variable from config in temp… (#1533)
This PR adds support to read the `add_generation_prompt` from the config
and use it in the chat template. If `add_generation_prompt` does not
exist we default to false
2024-02-07 09:35:53 +01:00
drbh 0da00be52c
feat: add ie update to message docs (#1523)
update messages api docs and add Hugging Face Inference Endpoints
integrations section/instructions

---------

Co-authored-by: Philipp Schmid <32632186+philschmid@users.noreply.github.com>
2024-02-02 16:31:11 +01:00
Pedro Cuenca 3ab578b416
[docs] Fix link to Install CLI (#1526)
# What does this PR do?

Attempts to fix a link from Using TGI CLI to Installation.


## Before submitting
- [x] This PR fixes a typo or improves the docs (you can dismiss the
other checks if that's the case).
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2024-02-02 14:05:30 +01:00
Nicolas Patry 0e97af456a
Updating tokenizers. (#1517)
# What does this PR do?

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2024-02-01 16:26:48 +01:00
drbh ee1cf51ce7
fix: tokenizer config should use local model path when possible (#1518)
This PR fixes the issue with loading a local tokenizer config.
Previously the default functionality would look in the current working
directory. Now if a local model path is specified we will check that
directory for the tokenizer_config.

## Examples of valid commands

uses tokenizer_config from hub
```
text-generation-launcher --model-id HuggingFaceH4/zephyr-7b-beta
```

use tokenizer_config from local model path
```
text-generation-launcher \
  --model-id ~/.cache/huggingface/hub/models--HuggingFaceH4--zephyr-7b-beta/snapshots/dc24cabd13eacd3ae3a5fe574bd645483a335a4a/
```

use specific tokenizer_config file
```
 text-generation-launcher \
  --model-id ~/.cache/huggingface/hub/models--HuggingFaceH4--zephyr-7b-beta/snapshots/dc24cabd13eacd3ae3a5fe574bd645483a335a4a/ \
  --tokenizer-config-path ~/.cache/huggingface/hub/models--HuggingFaceH4--zephyr-7b-beta/snapshots/dc24cabd13eacd3ae3a5fe574bd645483a335a4a/tokenizer_config.json


```

---------

Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
2024-02-01 09:39:32 -05:00
Nicolas Patry 1e03b61b5c Revert "Modify default for max_new_tokens in python client (#1336)"
This reverts commit 2d56f106a6.

It causes a breaking in our integrations-tests.
2024-02-01 14:36:10 +00:00
Nicolas Patry 9ad7b6a1a1
Hotfix the / health - route. (#1515)
# What does this PR do?

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2024-02-01 13:29:04 +01:00
Nicolas Patry 94d243b3d7 Freshen up the README. 2024-02-01 10:23:37 +01:00
Dean Wyatte 13c62be467
GPTNeoX: Use static rotary embedding (#1498)
# What does this PR do?

`transformers` 4.35 removed rotary embeddings from GPTNeoX's weights
([link to line
diff](253f9a3f97 (diff-0e2a05d86c82e96f516db8c14070ceb36f53ca44c6bc21a9cd92ad2e777b9cf1R298))).
This applies the same fix as
https://github.com/huggingface/text-generation-inference/pull/793 which
generates them on-the-fly using the appropriate value from the config
file

Fixes
https://github.com/huggingface/text-generation-inference/issues/1460

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2024-02-01 09:34:11 +01:00
drbh 2ae36a97fd
fix: improve messages api docs content and formatting (#1506)
This PR simply updates the messages api docs to address content changes
and make format consistent
2024-01-31 17:26:22 +01:00
dtlzhuangz 0595bf3e9a
feat: eetq gemv optimization when batch_size <= 4 (#1502)
# What does this PR do?

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Add TensorRT-LLM weight-only GEMV kernel support. We extract GEMV kernel
from
[TensorRT-LLM](https://github.com/NVIDIA/TensorRT-LLM/tree/main/cpp/tensorrt_llm/kernels/weightOnlyBatchedGemv)
to accelerate the decode speed of EETQ when batch_size is smaller or
equal to 4.

- Features

1. There is almost no loss of quantization accuracy.
2. The speed of decoding is 13% - 27% faster than original EETQ which
utilizes GEMM kernel.

- Test
Below is our test on 3090. Environment: torch=2.0.1, cuda=11.8, nvidia
driver: 525.78.01
prompt=1024, max_new_tokens=50

![image](https://github.com/huggingface/text-generation-inference/assets/139844877/98e63b23-23cd-452f-91bd-55ccdc9b7021)


![image](https://github.com/huggingface/text-generation-inference/assets/139844877/5c3132ff-fc1c-4b20-a83f-59b3d5f586b7)



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2024-01-31 12:05:49 +01:00
freitng 2d56f106a6
Modify default for max_new_tokens in python client (#1336)
# What does this PR do?
Since
([#1097](https://github.com/huggingface/text-generation-inference/pull/1097))
the clients do not need to specify a max_length anymore. However, the
python client in this repo had not yet been adapted to these changes.
This PR makes it possible to use the python client and not provide
max_new_tokens.

<!-- Remove if not applicable -->


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2024-01-29 11:02:57 -05:00
Nicolas Patry a9ea60684b
Create the compute type at launch time (if not provided in the env). (#1505)
# What does this PR do?

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2024-01-29 12:30:50 +01:00
Nicolas Patry 0424dabb01
Sending compute type from the environment instead of hardcoded string (#1504)
# What does this PR do?

Sending compute type from the environment instead of hardcoded string

Using env is slow, therefore getting it from global state instead.

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2024-01-29 11:20:08 +01:00
Nicolas Patry 069895b985
Fixing top_n_tokens. (#1497)
# What does this PR do?

Superseeds #1459

The fix works as follows.
We updated next_token_chooser to return all logprbs, then
batch_top_n_tokens, now also gets accepted_ids + speculated_length (so
it knows how to interpret the flat logprobs).

We then update the code to return lists ot `Tokens` that it expects.
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2024-01-26 20:13:47 +01:00
OlivierDehaene c2d4a3b5c7
v1.4.0 (#1494) 2024-01-26 19:04:57 +01:00
drbh d9758851be
feat: add tokenizer-config-path to launcher args (#1495)
This PR adds the `tokenizer-config-path` to the launcher and passes it
to the router

Fixes:
https://github.com/huggingface/text-generation-inference/pull/1427
2024-01-26 18:01:33 +01:00
fxmarty 650fea1834
GPTQ support on ROCm (#1489)
Tested with
```
CUDA_VISIBLE_DEVICES=0 text-generation-launcher --model-id TheBloke/Llama-2-7B-Chat-GPTQ --quantize gptq
EXLLAMA_VERSION=1 CUDA_VISIBLE_DEVICES=0 text-generation-launcher --model-id TheBloke/Llama-2-7B-Chat-GPTQ --quantize gptq
CUDA_VISIBLE_DEVICES="0,1" text-generation-launcher --model-id TheBloke/Llama-2-7B-Chat-GPTQ --quantize gptq
```

all with good and identical results on MI210.

---------

Co-authored-by: Felix Marty <felix@hf.co>
Co-authored-by: OlivierDehaene <olivier@huggingface.co>
Co-authored-by: OlivierDehaene <23298448+OlivierDehaene@users.noreply.github.com>
2024-01-26 16:27:44 +01:00
Nicolas Patry ebecc06161
Update the docs to include newer models. (#1492) 2024-01-26 16:07:31 +01:00
Andrés Restrepo 50a20a83d7
fix: launcher doc typos (#1462)
# What does this PR do?

fixes launcher doc typos

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Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
2024-01-26 14:10:07 +01:00
Nicolas Patry 4c7315dde5
Trying to fix that flaky test. (#1491)
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2024-01-26 14:06:27 +01:00
Nicolas Patry ac49972752
Add sealion mpt support (#1477)
# What does this PR do?

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---------

Co-authored-by: Choon Meng Tan <choonmeng@aisingapore.org>
Co-authored-by: David Ong Tat-Wee <13075447+ongtw@users.noreply.github.com>
2024-01-26 14:05:02 +01:00
Nicolas Patry b95732180d
Reinstate exl2 with tp (#1490)
# What does this PR do?

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guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-requests),
      Pull Request section?
- [ ] Was this discussed/approved via a Github issue or the
[forum](https://discuss.huggingface.co/)? Please add a link
      to it if that's the case.
- [ ] Did you make sure to update the documentation with your changes?
Here are the
[documentation
guidelines](https://github.com/huggingface/transformers/tree/main/docs),
and
[here are tips on formatting
docstrings](https://github.com/huggingface/transformers/tree/main/docs#writing-source-documentation).
- [ ] Did you write any new necessary tests?


## Who can review?

Anyone in the community is free to review the PR once the tests have
passed. Feel free to tag
members/contributors who may be interested in your PR.

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2024-01-26 14:00:29 +01:00
Nicolas Patry 16958fe312
fix: launcher doc typos (#1473)
# What does this PR do?

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Fixes # (issue)


## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the
other checks if that's the case).
- [ ] Did you read the [contributor
guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-requests),
      Pull Request section?
- [ ] Was this discussed/approved via a Github issue or the
[forum](https://discuss.huggingface.co/)? Please add a link
      to it if that's the case.
- [ ] Did you make sure to update the documentation with your changes?
Here are the
[documentation
guidelines](https://github.com/huggingface/transformers/tree/main/docs),
and
[here are tips on formatting
docstrings](https://github.com/huggingface/transformers/tree/main/docs#writing-source-documentation).
- [ ] Did you write any new necessary tests?


## Who can review?

Anyone in the community is free to review the PR once the tests have
passed. Feel free to tag
members/contributors who may be interested in your PR.

<!-- Your PR will be replied to more quickly if you can figure out the
right person to tag with @


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---------

Co-authored-by: Andres Restrepo <andres@thelinuxkid.com>
2024-01-26 10:41:58 +01:00
drbh 13dd8e2361
fix: show warning with tokenizer config parsing error (#1488)
This tiny PR just prints the parsing error when a tokenizer config fails
to load.

This is helpful when a chat_template wont load due to formatting issues
https://github.com/huggingface/text-generation-inference/pull/1427#issuecomment-1909226388
2024-01-26 10:41:39 +01:00
Nicolas Patry 17b7b75e65 Update the docs 2024-01-26 10:13:23 +01:00
OlivierDehaene 9c320e260b
fix: read stderr in download (#1486)
#1186
2024-01-25 18:16:03 +01:00
drbh 7e2a7433d3
feat: adds phi model (#1442)
This PR adds basic modeling for phi-2 

run
```bash
text-generation-server \
    serve \
    microsoft/phi-2 \
    --revision 834565c23f9b28b96ccbeabe614dd906b6db551a
```


test
```bash
curl -s localhost:3000/generate \
   -X POST \
   -d '{"inputs":"What is Deep Learning?","parameters":{"max_new_tokens":20}}' \
   -H 'Content-Type: application/json' | jq .
# {
#   "generated_text": "\nDeep learning is a subset of machine learning that uses artificial neural networks to learn from data. These"
# }
```



notes 
- recently (~1 day ago) the Phi weights and model were updated to
accommodate adding [GQA/MQA attention to the
model.](https://github.com/huggingface/transformers/pull/28163) This
impl expects the original model format so a fixed revision is required
at the moment.
- this PR only includes a basic implementation of the model and can
later be extended for support Flash and Sharded versions as well as make
use of better optimization
2024-01-25 15:37:53 +01:00