Upload folder using huggingface_hub
Browse files- added_tokens.json +0 -1
- config.json +107 -5
- generation_config.json +2 -2
- model-00001-of-00004.safetensors +1 -1
- model-00002-of-00004.safetensors +1 -1
- model-00003-of-00004.safetensors +1 -1
- model-00004-of-00004.safetensors +1 -1
- modeling_phi3.py +9 -2
- special_tokens_map.json +1 -1
- tokenizer.json +1 -10
- tokenizer_config.json +4 -12
added_tokens.json
CHANGED
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@@ -2,7 +2,6 @@
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"<|assistant|>": 32001,
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"<|endoftext|>": 32000,
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"<|end|>": 32007,
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-
"<|eot_id|>": 32011,
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"<|placeholder1|>": 32002,
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"<|placeholder2|>": 32003,
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"<|placeholder3|>": 32004,
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"<|assistant|>": 32001,
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"<|endoftext|>": 32000,
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"<|end|>": 32007,
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"<|placeholder1|>": 32002,
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"<|placeholder2|>": 32003,
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"<|placeholder3|>": 32004,
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config.json
CHANGED
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@@ -1,5 +1,5 @@
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{
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-
"_name_or_path": "microsoft/Phi-3-mini-
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"architectures": [
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"Phi3ForCausalLM"
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],
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"auto_map": {
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"AutoConfig": "configuration_phi3.Phi3Config",
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"AutoModel": "modeling_phi3.Phi3ForCausalLM",
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"AutoModelForCausalLM": "microsoft/Phi-3-mini-
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},
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"bos_token_id": 1,
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"embd_pdrop": 0.0,
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@@ -17,7 +17,7 @@
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"hidden_size": 3072,
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"initializer_range": 0.02,
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"intermediate_size": 8192,
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-
"max_position_embeddings":
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"model_type": "phi3",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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@@ -26,9 +26,111 @@
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"pad_token_id": 32000,
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"resid_pdrop": 0.0,
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"rms_norm_eps": 1e-05,
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-
"rope_scaling":
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"rope_theta": 10000.0,
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-
"sliding_window":
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.45.0.dev0",
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| 1 |
{
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+
"_name_or_path": "microsoft/Phi-3.5-mini-instruct",
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"architectures": [
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"Phi3ForCausalLM"
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],
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"auto_map": {
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"AutoConfig": "configuration_phi3.Phi3Config",
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"AutoModel": "modeling_phi3.Phi3ForCausalLM",
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+
"AutoModelForCausalLM": "microsoft/Phi-3.5-mini-instruct--modeling_phi3.Phi3ForCausalLM"
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},
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"bos_token_id": 1,
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"embd_pdrop": 0.0,
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"hidden_size": 3072,
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"initializer_range": 0.02,
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"intermediate_size": 8192,
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+
"max_position_embeddings": 131072,
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"model_type": "phi3",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"pad_token_id": 32000,
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"resid_pdrop": 0.0,
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"rms_norm_eps": 1e-05,
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+
"rope_scaling": {
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"long_factor": [
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],
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"short_factor": [
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1.0,
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],
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"type": "longrope"
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},
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"rope_theta": 10000.0,
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"sliding_window": 262144,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.45.0.dev0",
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generation_config.json
CHANGED
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@@ -2,9 +2,9 @@
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": [
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-
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32001,
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],
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"pad_token_id": 32000,
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"transformers_version": "4.45.0.dev0"
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": [
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32007,
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32001,
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32000
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],
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"pad_token_id": 32000,
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"transformers_version": "4.45.0.dev0"
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model-00001-of-00004.safetensors
CHANGED
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@@ -1,3 +1,3 @@
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| 1 |
version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 1958700256
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| 1 |
version https://git-lfs.github.com/spec/v1
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+
oid sha256:567b7723ea6a425b4e8a511facb5ad710a0b81760fb49dc4d8c7731de2e97e66
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size 1958700256
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model-00002-of-00004.safetensors
CHANGED
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version https://git-lfs.github.com/spec/v1
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size 1937885224
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version https://git-lfs.github.com/spec/v1
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size 1937885224
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model-00003-of-00004.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 1981925424
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version https://git-lfs.github.com/spec/v1
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+
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size 1981925424
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model-00004-of-00004.safetensors
CHANGED
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 1763670920
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| 1 |
version https://git-lfs.github.com/spec/v1
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+
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size 1763670920
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modeling_phi3.py
CHANGED
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@@ -149,7 +149,7 @@ class Phi3LongRoPEScaledRotaryEmbedding(Phi3RotaryEmbedding):
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| 149 |
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| 150 |
@torch.no_grad()
|
| 151 |
def forward(self, x, position_ids, seq_len=None):
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| 152 |
-
seq_len = torch.max(position_ids) + 1
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| 153 |
if seq_len > self.original_max_position_embeddings:
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| 154 |
ext_factors = torch.tensor(self.long_factor, dtype=torch.float32, device=x.device)
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| 155 |
else:
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@@ -451,7 +451,7 @@ class Phi3FlashAttention2(Phi3Attention):
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kv_seq_len += past_key_value.get_usable_length(kv_seq_len, self.layer_idx)
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# Because the input can be padded, the absolute sequence length depends on the max position id.
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| 454 |
-
rotary_seq_len = max(kv_seq_len, position_ids[:, -1].max().item()
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| 455 |
cos, sin = self.rotary_emb(value_states, position_ids, seq_len=rotary_seq_len)
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| 456 |
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| 457 |
query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin, position_ids)
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@@ -1285,6 +1285,13 @@ class Phi3ForCausalLM(Phi3PreTrainedModel):
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| 1285 |
def prepare_inputs_for_generation(
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| 1286 |
self, input_ids, past_key_values=None, attention_mask=None, inputs_embeds=None, **kwargs
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):
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if past_key_values is not None:
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if isinstance(past_key_values, Cache):
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| 1290 |
cache_length = past_key_values.get_seq_length()
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| 149 |
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| 150 |
@torch.no_grad()
|
| 151 |
def forward(self, x, position_ids, seq_len=None):
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| 152 |
+
seq_len = seq_len or torch.max(position_ids) + 1
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| 153 |
if seq_len > self.original_max_position_embeddings:
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| 154 |
ext_factors = torch.tensor(self.long_factor, dtype=torch.float32, device=x.device)
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| 155 |
else:
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kv_seq_len += past_key_value.get_usable_length(kv_seq_len, self.layer_idx)
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# Because the input can be padded, the absolute sequence length depends on the max position id.
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| 454 |
+
rotary_seq_len = max(kv_seq_len, position_ids[:, -1].max().item() + 1)
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| 455 |
cos, sin = self.rotary_emb(value_states, position_ids, seq_len=rotary_seq_len)
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| 456 |
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query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin, position_ids)
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| 1285 |
def prepare_inputs_for_generation(
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self, input_ids, past_key_values=None, attention_mask=None, inputs_embeds=None, **kwargs
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| 1287 |
):
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# When the first time input length reached long and short factor switching point, enforce re-compute cache
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# It will cause downside of slower at this single token position, however, better than current failure.
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| 1290 |
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if past_key_values and self.config.rope_scaling and input_ids.shape[1] >= self.config.original_max_position_embeddings + 1:
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past_length = past_key_values.seen_tokens if isinstance(past_key_values, Cache) else past_key_values[0][0].shape[2]
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| 1292 |
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if past_length <= self.config.original_max_position_embeddings:
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| 1293 |
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past_key_values = None
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| 1294 |
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| 1295 |
if past_key_values is not None:
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| 1296 |
if isinstance(past_key_values, Cache):
|
| 1297 |
cache_length = past_key_values.get_seq_length()
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special_tokens_map.json
CHANGED
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"single_word": false
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},
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"eos_token": {
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"content": "<|
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "<|end|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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tokenizer.json
CHANGED
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| 98 |
"content": "<|end|>",
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| 99 |
"single_word": false,
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"lstrip": false,
|
| 101 |
-
"rstrip":
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"normalized": false,
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| 103 |
"special": true
|
| 104 |
},
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| 128 |
"rstrip": true,
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| 129 |
"normalized": false,
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| 130 |
"special": true
|
| 131 |
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},
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| 132 |
-
{
|
| 133 |
-
"id": 32011,
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| 134 |
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"content": "<|eot_id|>",
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| 135 |
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"single_word": false,
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| 136 |
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"lstrip": false,
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"rstrip": false,
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| 138 |
-
"normalized": false,
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| 139 |
-
"special": true
|
| 140 |
}
|
| 141 |
],
|
| 142 |
"normalizer": {
|
|
|
|
| 98 |
"content": "<|end|>",
|
| 99 |
"single_word": false,
|
| 100 |
"lstrip": false,
|
| 101 |
+
"rstrip": false,
|
| 102 |
"normalized": false,
|
| 103 |
"special": true
|
| 104 |
},
|
|
|
|
| 128 |
"rstrip": true,
|
| 129 |
"normalized": false,
|
| 130 |
"special": true
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 131 |
}
|
| 132 |
],
|
| 133 |
"normalizer": {
|
tokenizer_config.json
CHANGED
|
@@ -87,7 +87,7 @@
|
|
| 87 |
"content": "<|end|>",
|
| 88 |
"lstrip": false,
|
| 89 |
"normalized": false,
|
| 90 |
-
"rstrip":
|
| 91 |
"single_word": false,
|
| 92 |
"special": true
|
| 93 |
},
|
|
@@ -114,22 +114,14 @@
|
|
| 114 |
"rstrip": true,
|
| 115 |
"single_word": false,
|
| 116 |
"special": true
|
| 117 |
-
},
|
| 118 |
-
"32011": {
|
| 119 |
-
"content": "<|eot_id|>",
|
| 120 |
-
"lstrip": false,
|
| 121 |
-
"normalized": false,
|
| 122 |
-
"rstrip": false,
|
| 123 |
-
"single_word": false,
|
| 124 |
-
"special": true
|
| 125 |
}
|
| 126 |
},
|
| 127 |
"bos_token": "<s>",
|
| 128 |
-
"chat_template": "{{ '<s>' }}{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{% if system_message is defined %}{{ '<|
|
| 129 |
"clean_up_tokenization_spaces": false,
|
| 130 |
-
"eos_token": "<|
|
| 131 |
"legacy": false,
|
| 132 |
-
"model_max_length":
|
| 133 |
"pad_token": "<|endoftext|>",
|
| 134 |
"padding_side": "left",
|
| 135 |
"sp_model_kwargs": {},
|
|
|
|
| 87 |
"content": "<|end|>",
|
| 88 |
"lstrip": false,
|
| 89 |
"normalized": false,
|
| 90 |
+
"rstrip": false,
|
| 91 |
"single_word": false,
|
| 92 |
"special": true
|
| 93 |
},
|
|
|
|
| 114 |
"rstrip": true,
|
| 115 |
"single_word": false,
|
| 116 |
"special": true
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 117 |
}
|
| 118 |
},
|
| 119 |
"bos_token": "<s>",
|
| 120 |
+
"chat_template": "{{ '<s>' }}{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{% if system_message is defined %}{{ '<|system|>\n' + system_message + '<|end|>\n' }}{% endif %}{% for message in messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '<|user|>\n' + content + '<|end|>\n<|assistant|>\n' }}{% elif message['role'] == 'assistant' %}{{ content + '<|end|>' + '\n' }}{% endif %}{% endfor %}",
|
| 121 |
"clean_up_tokenization_spaces": false,
|
| 122 |
+
"eos_token": "<|end|>",
|
| 123 |
"legacy": false,
|
| 124 |
+
"model_max_length": 131072,
|
| 125 |
"pad_token": "<|endoftext|>",
|
| 126 |
"padding_side": "left",
|
| 127 |
"sp_model_kwargs": {},
|