HQQ 3-bit w integrated LoRA APIs - BC official HQQ integration isn't here yet - RN investigating if 2bit is wrong or just always bad
👋 Open to Work
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crumb
AI & ML interests
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Recent Activity
updated a model about 2 hours ago
crumbs-playground/test-bf-moe updated a dataset about 17 hours ago
crumb/bf_random_valid_dr4l2_swarm_pre liked a model 3 days ago
XingChen-AGI/Xing4.0-29B-A4BOrganizations
MoLora-v2
First Prototype of the second iteration of MoLora utilizing mixture of expert techniques applied to the Llama2 model.
Shrink Llama - V1
Parts of Meta's LlamaV2 models, chopped up and trained. CoreX means the first X layers were kept.
MoAT (More Artificial Tokens)
Allowing for the LM to learn a soft-"multi-step program" to predict future tokens instead of learning to predict future tokens itself.
Crumb's Quants
HQQ 3-bit w integrated LoRA APIs - BC official HQQ integration isn't here yet - RN investigating if 2bit is wrong or just always bad
MoLora-v1
Model assets for the first Mixture-of-Lora technique applied to Llama. https://bit.ly/48bqshl
MoLora-v2
First Prototype of the second iteration of MoLora utilizing mixture of expert techniques applied to the Llama2 model.
GPT2-Linear
GPT2 Models using Linear layers instead of Conv layers for convenience.
Shrink Llama - V1
Parts of Meta's LlamaV2 models, chopped up and trained. CoreX means the first X layers were kept.
Cramp(ed) Models
Smaller models trained locally on my 2xA6000 Lambda Vector
MoAT (More Artificial Tokens)
Allowing for the LM to learn a soft-"multi-step program" to predict future tokens instead of learning to predict future tokens itself.