mirror of
https://github.com/dogkeeper886/ollama37.git
synced 2025-12-10 07:46:59 +00:00
Move quantization to new backend (#10363)
* Move quantization logic to GGML via new backend This moves the model aware logic to Go code and calls GGMLs quantization code for model creation. * Remove "add model quantizations" This is no longer needed now that quantization is implemented in Go+GGML code directly.
This commit is contained in:
@@ -29,8 +29,8 @@ func (p *llamaAdapter) KV(baseKV ggml.KV) ggml.KV {
|
||||
return kv
|
||||
}
|
||||
|
||||
func (p *llamaAdapter) Tensors(ts []Tensor) []ggml.Tensor {
|
||||
var out []ggml.Tensor
|
||||
func (p *llamaAdapter) Tensors(ts []Tensor) []*ggml.Tensor {
|
||||
var out []*ggml.Tensor
|
||||
for _, t := range ts {
|
||||
shape := t.Shape()
|
||||
if (strings.HasSuffix(t.Name(), "weight.lora_a") && shape[0] > shape[1]) ||
|
||||
@@ -41,7 +41,7 @@ func (p *llamaAdapter) Tensors(ts []Tensor) []ggml.Tensor {
|
||||
t.SetRepacker(p.repack)
|
||||
}
|
||||
|
||||
out = append(out, ggml.Tensor{
|
||||
out = append(out, &ggml.Tensor{
|
||||
Name: t.Name(),
|
||||
Kind: t.Kind(),
|
||||
Shape: shape,
|
||||
|
||||
Reference in New Issue
Block a user