vbatts/llama.cpp
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Merge branch 'master' into compilade/refactor-kv-cache

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This commit is contained in:
Francis Couture-Harpin 2024-05-28 15:15:18 -04:00
commit 4e4c41e553
66 changed files with 2719 additions and 454 deletions
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29
gguf-py/gguf/tensor_mapping.py
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@ -260,6 +260,7 @@ class TensorNameMap:
MODEL_TENSOR.FFN_UP_SHEXP: (
"model.layers.{bid}.mlp.shared_expert.up_proj", # qwen2moe
"model.layers.{bid}.mlp.shared_experts.up_proj", # deepseek2
),
# AWQ-activation gate
@ -290,6 +291,7 @@ class TensorNameMap:
MODEL_TENSOR.FFN_GATE_SHEXP: (
"model.layers.{bid}.mlp.shared_expert.gate_proj", # qwen2moe
"model.layers.{bid}.mlp.shared_experts.gate_proj", # deepseek2
),
# Feed-forward down
@ -326,6 +328,7 @@ class TensorNameMap:
MODEL_TENSOR.FFN_DOWN_SHEXP: (
"model.layers.{bid}.mlp.shared_expert.down_proj", # qwen2moe
"model.layers.{bid}.mlp.shared_experts.down_proj", # deepseek2
),
MODEL_TENSOR.ATTN_Q_NORM: (
@ -410,6 +413,30 @@ class TensorNameMap:
"backbone.layers.{bid}.mixer.out_proj", # mamba
"model.layers.{bid}.mamba.out_proj", # jamba
),
MODEL_TENSOR.ATTN_Q_A: (
"model.layers.{bid}.self_attn.q_a_proj", # deepseek2
),
MODEL_TENSOR.ATTN_Q_B: (
"model.layers.{bid}.self_attn.q_b_proj", # deepseek2
),
MODEL_TENSOR.ATTN_KV_A_MQA: (
"model.layers.{bid}.self_attn.kv_a_proj_with_mqa", # deepseek2
),
MODEL_TENSOR.ATTN_KV_B: (
"model.layers.{bid}.self_attn.kv_b_proj", # deepseek2
),
MODEL_TENSOR.ATTN_Q_A_NORM: (
"model.layers.{bid}.self_attn.q_a_layernorm", # deepseek2
),
MODEL_TENSOR.ATTN_KV_A_NORM: (
"model.layers.{bid}.self_attn.kv_a_layernorm", # deepseek2
),
}
# architecture-specific block mappings
@ -442,7 +469,7 @@ class TensorNameMap:
if tensor not in MODEL_TENSORS[arch]:
continue
# TODO: make this configurable
n_experts = 128
n_experts = 160
for xid in range(n_experts):
tensor_name = TENSOR_NAMES[tensor].format(bid = bid, xid = xid)
self.mapping[tensor_name] = (tensor, tensor_name)