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
crumb
crumb
AI & ML interests
None yet
Recent Activity
updated a model about 22 hours ago
crumb/qwen3.5-9B-cq3 updated a model about 22 hours ago
crumb/qwen3.6-27B-cq3 updated a collection 1 day ago
Crumb's QuantsOrganizations
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.