65e2f1624e
fix(server): fix token_is_special ( #87 )
2023-02-24 17:20:00 +01:00
0ac184ce77
feat(server): add special token bool ( #85 )
2023-02-24 15:55:57 +01:00
4b1c9720c0
v0.3.1 ( #84 )
2023-02-24 13:27:41 +01:00
44ce098c10
feat(server): pre-allocate max attention mask ( #75 )
2023-02-24 12:49:21 +01:00
78063c0569
fix(server): remove position_ids from galactica forward ( #82 )
...
closes #80
2023-02-20 19:28:57 +01:00
17bc841b1b
feat(server): enable hf-transfer ( #76 )
2023-02-18 14:04:11 +01:00
c720555adc
v0.3.0 ( #72 )
2023-02-16 17:28:29 +01:00
439fcaf810
feat(router): add prometheus metrics scrape endpoint ( #71 )
2023-02-16 17:18:53 +01:00
c5a4a1faf3
feat(server): improve download logging ( #66 )
2023-02-15 16:11:32 +01:00
0fbc691946
feat: add safetensors conversion ( #63 )
2023-02-14 13:02:16 +01:00
9af454142a
feat: add distributed tracing ( #62 )
2023-02-13 13:02:45 +01:00
1ad3250b89
fix(docker): increase shm size ( #60 )
2023-02-08 17:53:33 +01:00
c503a639b1
feat(server): support t5 ( #59 )
2023-02-07 18:25:17 +01:00
2fe5e1b30e
V0.2.1 ( #58 )
2023-02-07 15:40:25 +01:00
4acc42a605
fix(server): better handling of inference mode ( #57 )
2023-02-07 15:38:22 +01:00
20c3c5940c
feat(router): refactor API and add openAPI schemas ( #53 )
2023-02-03 12:43:37 +01:00
b1482d9048
breaking(router): modify /generate API to only return generated text ( #50 )
...
@njhill, @yk FYI
generated_text was concatenated to the user prompt for legacy reason. We
want to remove this behaviour as we don't think it is useful and even
detrimonial to usability.
We also remove the unused Vec.
2023-02-02 15:02:04 +01:00
df227ac20d
fix(server): allow greedy repetition penalty ( #51 )
2023-02-02 10:34:35 +01:00
775115e3a5
feat(server): allow the server to use a local weight cache ( #49 )
2023-02-01 16:22:10 +01:00
313194f6d7
feat(server): support repetition penalty ( #47 )
2023-02-01 15:58:42 +01:00
2ad895a6cc
feat(server): allow gpt-neox models with odd vocab sizes to be sharded ( #48 )
2023-02-01 14:43:59 +01:00
f830706b21
feat(server): Support GPT-Neox ( #39 )
2023-01-31 18:53:56 +01:00
c6e8b9442b
fix(server): fix quantization for sharded models ( #45 )
2023-01-31 17:40:38 +01:00
017a2a8c2f
feat: Add token streaming using ServerSideEvents support ( #41 )
2023-01-31 17:04:00 +01:00
54fec93193
fix(server): fix seeding with multiple shards ( #44 )
2023-01-31 16:01:15 +01:00
03bdf18290
fix(server): fix seeding on gpu ( #42 )
2023-01-31 14:30:33 +01:00
4f9ac67cfa
Revert "feat: Add token streaming using ServerSideEvents support" ( #40 )
...
Reverts huggingface/text-generation-inference#36
2023-01-31 14:21:51 +01:00
7fbfbb0dc5
feat: Add token streaming using ServerSideEvents support ( #36 )
...
Add token streaming using ServerSideEvents (SSE).
The signature of the SSE events is:
```rust
struct Details {
finish_reason: String,
generated_tokens: u32,
seed: Option<u64>,
}
struct StreamResponse {
token: Token,
generated_text: Option<String>,
details: Option<Details>,
}
struct ErrorResponse {
error: String,
}
```
2023-01-31 11:49:43 +01:00
cd298bc5e5
feat: Support sampling seeding ( #37 )
...
Co-authored-by: Yannic Kilcher <yk@users.noreply.github.com>
2023-01-30 15:36:16 +01:00
ce960be0a5
feat(bloom): use torch.nn.Linear and torch.nn.GELU ( #33 )
2023-01-26 15:33:45 +01:00
13e7044ab7
fix(dockerfile): fix docker build ( #32 )
2023-01-24 19:52:39 +01:00
1f570d181f
fix(server): Fix position ids ( #28 )
2023-01-20 15:35:22 +01:00
15511edc01
feat(server): Support SantaCoder ( #26 )
2023-01-20 12:24:39 +01:00
e6d3eb5d5d
fix(server): Minor refactorization using new_zeros ( #24 )
...
- Fix some type hints, in particular base tokenizer class
- Make use of `tensor.new_zero/empty` methods
- Simplify env var string parsing in launcher
2023-01-17 09:10:22 +01:00
fcc2c5fcbf
feat(launcher): Log server stdout ( #19 )
...
Co-authored-by: Nick Hill <nickhill@us.ibm.com>
2023-01-05 12:01:23 +01:00
b94f30215f
fix(server): Use cleanup_tokenization_spaces=False for lossless decoding ( #13 )
...
Fixes #12 in the easiest way I could think of.
2023-01-03 11:07:05 +01:00
686cc66717
fix(server): Check for device type correctly when determining initial padding ( #16 )
...
AFAIK there is no torch device type called "gpu".
2022-12-30 19:30:42 +01:00
611e21cb13
fix(server): Fix stop sequences ( #11 )
2022-12-16 16:03:39 +01:00
32a253063d
feat: Return logprobs ( #8 )
2022-12-15 17:03:56 +01:00
718096f695
feat: Support stop sequences ( #7 )
2022-12-12 18:25:22 +01:00
042180d88f
fix(server): Only pad to multiple of 8 on GPUs
2022-12-08 19:37:37 +01:00
a2985036aa
feat(server): Add model tests ( #6 )
2022-12-08 18:49:33 +01:00
31d76e238d
fix(batching): Avoid theoretical hang in batcher loop ( #5 )
...
- Avoid theoretical hang in batcher loop
- Avoid a couple of clones in the router generate method
- Keep attention mask tensors as integers
- Remove num_heads attribute
Co-authored-by: OlivierDehaene <Olivier.dehaene@gmail.com>
2022-12-05 10:10:59 +01:00
daa1d81d5e
feat(server): Support Galactica ( #4 )
2022-12-01 19:31:54 +01:00
dccd5c2b1a
feat(server): Clarify CausalLMBatch concatenate method
2022-11-09 18:24:07 +01:00
fa43fb71be
fix(server): Fix Transformers fork version
2022-11-08 17:42:38 +01:00
4236e41b0d
feat(server): Improved doc
2022-11-07 12:53:56 +01:00
427d7cc444
feat(server): Support AutoModelForSeq2SeqLM
2022-11-04 18:03:04 +01:00
c5665f5c8b
feat(server): Support generic AutoModelForCausalLM
2022-11-04 14:22:47 +01:00
755fc0e403
fix(models): Revert buggy support for AutoModel
2022-11-03 16:07:54 +01:00
OlivierDehaene