bridge.recipes.muse_glimmer.h100.muse_glimmer#
Bounded H100 training recipes for Muse Glimmer 30B.
Module Contents#
Functions#
Return a 100-step random-init multimodal pretraining config on 32 H100 GPUs. |
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Return a 100-step full multimodal SFT config on 32 H100 GPUs. |
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Return a 100-step packed 8K full SFT config with CP2 on 32 H100 GPUs. |
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Return a 100-step attention-projection LoRA config on 8 H100 GPUs. |
Data#
API#
- bridge.recipes.muse_glimmer.h100.muse_glimmer._MODEL_ID#
‘meta-models/Muse-Glimmer-30B’
- bridge.recipes.muse_glimmer.h100.muse_glimmer._MODEL_REVISION#
‘f84ecc3a0ea984a4c04542a84269e3d065350a6e’
- bridge.recipes.muse_glimmer.h100.muse_glimmer._CORD_V2_REVISION#
‘7f0115a4b758a71d6473b8d085751692da2fef98’
- bridge.recipes.muse_glimmer.h100.muse_glimmer.muse_glimmer_30b_pretrain_32gpu_h100_bf16_multimodal_config() megatron.bridge.training.config.ConfigContainer#
Return a 100-step random-init multimodal pretraining config on 32 H100 GPUs.
- bridge.recipes.muse_glimmer.h100.muse_glimmer.muse_glimmer_30b_sft_32gpu_h100_bf16_config() megatron.bridge.training.config.ConfigContainer#
Return a 100-step full multimodal SFT config on 32 H100 GPUs.
- bridge.recipes.muse_glimmer.h100.muse_glimmer.muse_glimmer_30b_sft_32gpu_h100_bf16_long_context_config() megatron.bridge.training.config.ConfigContainer#
Return a 100-step packed 8K full SFT config with CP2 on 32 H100 GPUs.
- bridge.recipes.muse_glimmer.h100.muse_glimmer.muse_glimmer_30b_peft_8gpu_h100_bf16_config(
- peft_scheme: str | megatron.bridge.peft.base.PEFT = 'lora',
Return a 100-step attention-projection LoRA config on 8 H100 GPUs.
- bridge.recipes.muse_glimmer.h100.muse_glimmer.__all__#
[‘muse_glimmer_30b_peft_8gpu_h100_bf16_config’, ‘muse_glimmer_30b_pretrain_32gpu_h100_bf16_multimoda…