mirror of
https://github.com/ollama/ollama.git
synced 2025-03-26 01:32:06 +01:00
f6f3713001
Add native support for converting Qwen2 family models (including Qwen2.5) from safetensors to gguf format so we can run it.
79 lines
2.3 KiB
Go
79 lines
2.3 KiB
Go
package convert
|
|
|
|
import "github.com/ollama/ollama/llm"
|
|
|
|
type qwen2Model struct {
|
|
ModelParameters
|
|
MaxPositionEmbeddings uint32 `json:"max_position_embeddings"`
|
|
HiddenSize uint32 `json:"hidden_size"`
|
|
HiddenLayers uint32 `json:"num_hidden_layers"`
|
|
IntermediateSize uint32 `json:"intermediate_size"`
|
|
NumAttentionHeads uint32 `json:"num_attention_heads"`
|
|
NumKeyValueHeads uint32 `json:"num_key_value_heads"`
|
|
RopeTheta float32 `json:"rope_theta"`
|
|
RopeScaling struct {
|
|
Type string `json:"type"`
|
|
Factor ropeFactor `json:"factor"`
|
|
OriginalMaxPositionEmbeddings uint32 `json:"original_max_position_embeddings"`
|
|
} `json:"rope_scaling"`
|
|
RMSNormEPS float32 `json:"rms_norm_eps"`
|
|
}
|
|
|
|
var _ ModelConverter = (*qwen2Model)(nil)
|
|
|
|
func (q *qwen2Model) KV(t *Tokenizer) llm.KV {
|
|
kv := q.ModelParameters.KV(t)
|
|
kv["general.architecture"] = "qwen2"
|
|
kv["qwen2.block_count"] = q.HiddenLayers
|
|
kv["qwen2.context_length"] = q.MaxPositionEmbeddings
|
|
kv["qwen2.embedding_length"] = q.HiddenSize
|
|
kv["qwen2.feed_forward_length"] = q.IntermediateSize
|
|
kv["qwen2.attention.head_count"] = q.NumAttentionHeads
|
|
kv["qwen2.attention.head_count_kv"] = q.NumKeyValueHeads
|
|
kv["qwen2.rope.freq_base"] = q.RopeTheta
|
|
kv["qwen2.attention.layer_norm_rms_epsilon"] = q.RMSNormEPS
|
|
|
|
switch q.RopeScaling.Type {
|
|
case "":
|
|
// no scaling
|
|
case "yarn":
|
|
kv["qwen2.rope.scaling.type"] = q.RopeScaling.Type
|
|
kv["qwen2.rope.scaling.factor"] = q.RopeScaling.Factor
|
|
default:
|
|
panic("unknown rope scaling type")
|
|
}
|
|
return kv
|
|
}
|
|
|
|
func (q *qwen2Model) Tensors(ts []Tensor) []llm.Tensor {
|
|
var out []llm.Tensor
|
|
for _, t := range ts {
|
|
out = append(out, llm.Tensor{
|
|
Name: t.Name(),
|
|
Kind: t.Kind(),
|
|
Shape: t.Shape(),
|
|
WriterTo: t,
|
|
})
|
|
}
|
|
|
|
return out
|
|
}
|
|
|
|
func (p *qwen2Model) Replacements() []string {
|
|
return []string{
|
|
"lm_head", "output",
|
|
"model.embed_tokens", "token_embd",
|
|
"model.layers", "blk",
|
|
"input_layernorm", "attn_norm",
|
|
"self_attn.k_proj", "attn_k",
|
|
"self_attn.v_proj", "attn_v",
|
|
"self_attn.q_proj", "attn_q",
|
|
"self_attn.o_proj", "attn_output",
|
|
"mlp.down_proj", "ffn_down",
|
|
"mlp.gate_proj", "ffn_gate",
|
|
"mlp.up_proj", "ffn_up",
|
|
"post_attention_layernorm", "ffn_norm",
|
|
"model.norm", "output_norm",
|
|
}
|
|
}
|