NanoCode012 ca796fb56e feat(doc): update gpt-oss readme (#3029) [skip ci] ...

* feat(doc): update gpt-oss readme

* fix: caps

* feat: add toolcalling section

* feat: add example tool dataset to docs

* chore: update

2025-08-07 09:26:42 -04:00

..

alst

Distributed/ND-Parallel (#2977)

2025-07-31 15:25:02 -04:00

archived

drop old patches and code that are no longer needed (#3007) [skip ci]

2025-08-06 08:02:39 -04:00

cloud

make pad_to_sequence_len default to the same value as sample_packing (#2941) [skip ci]

2025-07-21 11:40:56 -04:00

cohere

make pad_to_sequence_len default to the same value as sample_packing (#2941) [skip ci]

2025-07-21 11:40:56 -04:00

colab-notebooks

add kernels for gpt oss models (#3020)

2025-08-06 09:47:55 -04:00

deepcogito

use warmup_ratio as a better default than warmup steps since it's data dependent (#2897) [skip ci]

2025-07-30 06:44:06 -04:00

deepseek-v2

use warmup_ratio as a better default than warmup steps since it's data dependent (#2897) [skip ci]

2025-07-30 06:44:06 -04:00

devstral

make pad_to_sequence_len default to the same value as sample_packing (#2941) [skip ci]

2025-07-21 11:40:56 -04:00

falcon-h1

make pad_to_sequence_len default to the same value as sample_packing (#2941) [skip ci]

2025-07-21 11:40:56 -04:00

gemma2

make pad_to_sequence_len default to the same value as sample_packing (#2941) [skip ci]

2025-07-21 11:40:56 -04:00

gemma3

make pad_to_sequence_len default to the same value as sample_packing (#2941) [skip ci]

2025-07-21 11:40:56 -04:00

gemma3n

Feat: Add voxtral, magistral small 1.1, and misc gemma3n fixes (#2979)

2025-07-30 15:57:05 +07:00

glm4

use warmup_ratio as a better default than warmup steps since it's data dependent (#2897) [skip ci]

2025-07-30 06:44:06 -04:00

gpt-oss

feat(doc): update gpt-oss readme (#3029) [skip ci]

2025-08-07 09:26:42 -04:00

jamba

use warmup_ratio as a better default than warmup steps since it's data dependent (#2897) [skip ci]

2025-07-30 06:44:06 -04:00

lfm2

make pad_to_sequence_len default to the same value as sample_packing (#2941) [skip ci]

2025-07-21 11:40:56 -04:00

llama-2

drop old patches and code that are no longer needed (#3007) [skip ci]

2025-08-06 08:02:39 -04:00

llama-3

use warmup_ratio as a better default than warmup steps since it's data dependent (#2897) [skip ci]

2025-07-30 06:44:06 -04:00

llama-3-vision

fix: revert changing default optimizer to muon (#2965) [skip ci]

2025-07-22 10:00:30 -04:00

llama-4

use warmup_ratio as a better default than warmup steps since it's data dependent (#2897) [skip ci]

2025-07-30 06:44:06 -04:00

llava

fix: revert changing default optimizer to muon (#2965) [skip ci]

2025-07-22 10:00:30 -04:00

magistral

Feat: Add voxtral, magistral small 1.1, and misc gemma3n fixes (#2979)

2025-07-30 15:57:05 +07:00

mamba

use warmup_ratio as a better default than warmup steps since it's data dependent (#2897) [skip ci]

2025-07-30 06:44:06 -04:00

mistral

use warmup_ratio as a better default than warmup steps since it's data dependent (#2897) [skip ci]

2025-07-30 06:44:06 -04:00

orpheus

use warmup_ratio as a better default than warmup steps since it's data dependent (#2897) [skip ci]

2025-07-30 06:44:06 -04:00

phi

use warmup_ratio as a better default than warmup steps since it's data dependent (#2897) [skip ci]

2025-07-30 06:44:06 -04:00

pixtral

fix: revert changing default optimizer to muon (#2965) [skip ci]

2025-07-22 10:00:30 -04:00

qwen2

use warmup_ratio as a better default than warmup steps since it's data dependent (#2897) [skip ci]

2025-07-30 06:44:06 -04:00

qwen2_5-vl

checkpoint model on first step callback (#2906)

2025-07-15 15:00:48 -04:00

qwen2-vl

checkpoint model on first step callback (#2906)

2025-07-15 15:00:48 -04:00

qwen3

use warmup_ratio as a better default than warmup steps since it's data dependent (#2897) [skip ci]

2025-07-30 06:44:06 -04:00

voxtral

Feat: Add voxtral, magistral small 1.1, and misc gemma3n fixes (#2979)

2025-07-30 15:57:05 +07:00