Delete models
Browse files- models/config.json +0 -87
- models/configuration_mimo.py +0 -16
- models/generation_config.json +0 -9
- models/merges.txt +0 -0
- models/model-00001-of-00004.safetensors +0 -3
- models/model-00002-of-00004.safetensors +0 -3
- models/model-00003-of-00004.safetensors +0 -3
- models/model-00004-of-00004.safetensors +0 -3
- models/model.safetensors.index.json +0 -459
- models/modeling_mimo.py +0 -75
- models/special_tokens_map.json +0 -31
- models/tokenizer.json +0 -3
- models/tokenizer_config.json +0 -207
- models/vocab.json +0 -0
models/config.json
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{
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"architectures": [
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"MiMoForCausalLM"
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],
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"attention_bias": true,
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"attention_dropout": 0.0,
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"auto_map": {
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"AutoConfig": "configuration_mimo.MiMoConfig",
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"AutoModel": "modeling_mimo.MiMoModel",
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"AutoModelForCausalLM": "modeling_mimo.MiMoForCausalLM"
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},
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"bos_token_id": 151643,
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"eos_token_id": 151645,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 11008,
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"layer_types": [
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention"
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],
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"max_position_embeddings": 32768,
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"max_window_layers": 36,
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"model_type": "mimo",
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"mtp_loss_step_weights": [
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0.51,
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0.31,
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0.18
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],
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"mtp_loss_weight": 1.0,
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"ntp_loss_weight": 0.0,
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"num_attention_heads": 32,
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"num_hidden_layers": 36,
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"num_key_value_heads": 8,
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"num_nextn_predict_layers": 1,
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"num_speculative_steps": 3,
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"pad_token_id": 151643,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"tokenizer_class": [
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"Qwen2Tokenizer"
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],
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"torch_dtype": "bfloat16",
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"transformers_version": "4.54.0",
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"use_cache": false,
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"use_mrope": false,
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"use_sliding_window": false,
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"vocab_size": 151680
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}
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models/configuration_mimo.py
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from transformers.models.qwen2.configuration_qwen2 import Qwen2Config
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class MiMoConfig(Qwen2Config):
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model_type = "mimo"
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def __init__(
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self,
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*args,
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num_nextn_predict_layers=0,
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**kwargs
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):
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self.num_nextn_predict_layers = num_nextn_predict_layers
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super().__init__(
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*args,
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**kwargs,
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)
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models/generation_config.json
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{
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"bos_token_id": 151643,
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"eos_token_id": [
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151645,
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151643
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],
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"max_new_tokens": 2048,
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"transformers_version": "4.54.0"
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}
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models/merges.txt
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models/model-00001-of-00004.safetensors
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models/model.safetensors.index.json
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models/modeling_mimo.py
DELETED
@@ -1,75 +0,0 @@
|
|
1 |
-
from typing import Optional, Tuple
|
2 |
-
|
3 |
-
import torch
|
4 |
-
from torch import nn
|
5 |
-
from transformers.cache_utils import Cache
|
6 |
-
from transformers.models.qwen2.modeling_qwen2 import (Qwen2Attention,
|
7 |
-
Qwen2ForCausalLM,
|
8 |
-
Qwen2MLP, Qwen2Model,
|
9 |
-
Qwen2RMSNorm)
|
10 |
-
|
11 |
-
from .configuration_mimo import MiMoConfig
|
12 |
-
|
13 |
-
|
14 |
-
class MiMoMTPLayers(nn.Module):
|
15 |
-
def __init__(self, config):
|
16 |
-
super().__init__()
|
17 |
-
self.input_layernorm = Qwen2RMSNorm(config.hidden_size, eps=config.rms_norm_eps)
|
18 |
-
self.post_attention_layernorm = Qwen2RMSNorm(config.hidden_size, eps=config.rms_norm_eps)
|
19 |
-
self.token_layernorm = Qwen2RMSNorm(config.hidden_size, eps=config.rms_norm_eps)
|
20 |
-
self.hidden_layernorm = Qwen2RMSNorm(config.hidden_size, eps=config.rms_norm_eps)
|
21 |
-
self.input_proj = nn.Linear(config.hidden_size * 2, config.hidden_size, bias=False)
|
22 |
-
self.final_layernorm = Qwen2RMSNorm(config.hidden_size, eps=config.rms_norm_eps)
|
23 |
-
self.self_attn = Qwen2Attention(config, layer_idx=0)
|
24 |
-
self.mlp = Qwen2MLP(config)
|
25 |
-
|
26 |
-
def forward(self, input_embeds,
|
27 |
-
hidden_states,
|
28 |
-
attention_mask,
|
29 |
-
position_ids,
|
30 |
-
past_key_values: Optional[Cache]=None,
|
31 |
-
output_attentions: Optional[bool]=False,
|
32 |
-
use_cache: Optional[bool]=False,
|
33 |
-
position_embedding: Optional[Tuple[torch.Tensor, torch.Tensor]] = None,
|
34 |
-
cache_position=None,
|
35 |
-
**kwargs):
|
36 |
-
input_embeds = self.token_layernorm(input_embeds)
|
37 |
-
previous_hidden_states = self.hidden_layernorm(hidden_states)
|
38 |
-
hidden_states = self.input_proj(torch.cat([previous_hidden_states, input_embeds], dim=-1))
|
39 |
-
residual = hidden_states
|
40 |
-
hidden_states = self.input_layernorm(hidden_states)
|
41 |
-
hidden_states, _ = self.self_attn(hidden_states,
|
42 |
-
attention_mask=attention_mask,
|
43 |
-
position_ids=position_ids,
|
44 |
-
past_key_values=past_key_values,
|
45 |
-
output_attentions=output_attentions,
|
46 |
-
use_cache=use_cache,
|
47 |
-
cache_position=cache_position,
|
48 |
-
position_embedding=position_embedding,
|
49 |
-
**kwargs)
|
50 |
-
hidden_states = residual + hidden_states
|
51 |
-
residual = hidden_states
|
52 |
-
hidden_states = self.post_attention_layernorm(hidden_states)
|
53 |
-
hidden_states = self.mlp(hidden_states)
|
54 |
-
hidden_states = residual + hidden_states
|
55 |
-
hidden_states = self.final_layernorm(hidden_states)
|
56 |
-
return hidden_states
|
57 |
-
|
58 |
-
|
59 |
-
class MiMoModel(Qwen2Model):
|
60 |
-
config_class = MiMoConfig
|
61 |
-
|
62 |
-
def __init__(self, config: MiMoConfig):
|
63 |
-
super().__init__(config)
|
64 |
-
self.mtp_layers = nn.ModuleList([MiMoMTPLayers(config) for _ in range(config.num_nextn_predict_layers)])
|
65 |
-
|
66 |
-
|
67 |
-
class MiMoForCausalLM(Qwen2ForCausalLM):
|
68 |
-
config_class = MiMoConfig
|
69 |
-
def __init__(self, config: MiMoConfig):
|
70 |
-
super(Qwen2ForCausalLM, self).__init__(config)
|
71 |
-
self.model = MiMoModel(config)
|
72 |
-
self.vocab_size = config.vocab_size
|
73 |
-
self.lm_head = nn.Linear(config.hidden_size, config.vocab_size, bias=False)
|
74 |
-
|
75 |
-
self.post_init()
|
|
|
|
|
|
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|
|
models/special_tokens_map.json
DELETED
@@ -1,31 +0,0 @@
|
|
1 |
-
{
|
2 |
-
"additional_special_tokens": [
|
3 |
-
"<|im_start|>",
|
4 |
-
"<|im_end|>",
|
5 |
-
"<|object_ref_start|>",
|
6 |
-
"<|object_ref_end|>",
|
7 |
-
"<|box_start|>",
|
8 |
-
"<|box_end|>",
|
9 |
-
"<|quad_start|>",
|
10 |
-
"<|quad_end|>",
|
11 |
-
"<|vision_start|>",
|
12 |
-
"<|vision_end|>",
|
13 |
-
"<|vision_pad|>",
|
14 |
-
"<|image_pad|>",
|
15 |
-
"<|video_pad|>"
|
16 |
-
],
|
17 |
-
"eos_token": {
|
18 |
-
"content": "<|im_end|>",
|
19 |
-
"lstrip": false,
|
20 |
-
"normalized": false,
|
21 |
-
"rstrip": false,
|
22 |
-
"single_word": false
|
23 |
-
},
|
24 |
-
"pad_token": {
|
25 |
-
"content": "<|endoftext|>",
|
26 |
-
"lstrip": false,
|
27 |
-
"normalized": false,
|
28 |
-
"rstrip": false,
|
29 |
-
"single_word": false
|
30 |
-
}
|
31 |
-
}
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
models/tokenizer.json
DELETED
@@ -1,3 +0,0 @@
|
|
1 |
-
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
|
3 |
-
size 11421896
|
|
|
|
|
|
|
|
models/tokenizer_config.json
DELETED
@@ -1,207 +0,0 @@
|
|
1 |
-
{
|
2 |
-
"add_bos_token": false,
|
3 |
-
"add_prefix_space": false,
|
4 |
-
"added_tokens_decoder": {
|
5 |
-
"151643": {
|
6 |
-
"content": "<|endoftext|>",
|
7 |
-
"lstrip": false,
|
8 |
-
"normalized": false,
|
9 |
-
"rstrip": false,
|
10 |
-
"single_word": false,
|
11 |
-
"special": true
|
12 |
-
},
|
13 |
-
"151644": {
|
14 |
-
"content": "<|im_start|>",
|
15 |
-
"lstrip": false,
|
16 |
-
"normalized": false,
|
17 |
-
"rstrip": false,
|
18 |
-
"single_word": false,
|
19 |
-
"special": true
|
20 |
-
},
|
21 |
-
"151645": {
|
22 |
-
"content": "<|im_end|>",
|
23 |
-
"lstrip": false,
|
24 |
-
"normalized": false,
|
25 |
-
"rstrip": false,
|
26 |
-
"single_word": false,
|
27 |
-
"special": true
|
28 |
-
},
|
29 |
-
"151646": {
|
30 |
-
"content": "<|object_ref_start|>",
|
31 |
-
"lstrip": false,
|
32 |
-
"normalized": false,
|
33 |
-
"rstrip": false,
|
34 |
-
"single_word": false,
|
35 |
-
"special": true
|
36 |
-
},
|
37 |
-
"151647": {
|
38 |
-
"content": "<|object_ref_end|>",
|
39 |
-
"lstrip": false,
|
40 |
-
"normalized": false,
|
41 |
-
"rstrip": false,
|
42 |
-
"single_word": false,
|
43 |
-
"special": true
|
44 |
-
},
|
45 |
-
"151648": {
|
46 |
-
"content": "<|box_start|>",
|
47 |
-
"lstrip": false,
|
48 |
-
"normalized": false,
|
49 |
-
"rstrip": false,
|
50 |
-
"single_word": false,
|
51 |
-
"special": true
|
52 |
-
},
|
53 |
-
"151649": {
|
54 |
-
"content": "<|box_end|>",
|
55 |
-
"lstrip": false,
|
56 |
-
"normalized": false,
|
57 |
-
"rstrip": false,
|
58 |
-
"single_word": false,
|
59 |
-
"special": true
|
60 |
-
},
|
61 |
-
"151650": {
|
62 |
-
"content": "<|quad_start|>",
|
63 |
-
"lstrip": false,
|
64 |
-
"normalized": false,
|
65 |
-
"rstrip": false,
|
66 |
-
"single_word": false,
|
67 |
-
"special": true
|
68 |
-
},
|
69 |
-
"151651": {
|
70 |
-
"content": "<|quad_end|>",
|
71 |
-
"lstrip": false,
|
72 |
-
"normalized": false,
|
73 |
-
"rstrip": false,
|
74 |
-
"single_word": false,
|
75 |
-
"special": true
|
76 |
-
},
|
77 |
-
"151652": {
|
78 |
-
"content": "<|vision_start|>",
|
79 |
-
"lstrip": false,
|
80 |
-
"normalized": false,
|
81 |
-
"rstrip": false,
|
82 |
-
"single_word": false,
|
83 |
-
"special": true
|
84 |
-
},
|
85 |
-
"151653": {
|
86 |
-
"content": "<|vision_end|>",
|
87 |
-
"lstrip": false,
|
88 |
-
"normalized": false,
|
89 |
-
"rstrip": false,
|
90 |
-
"single_word": false,
|
91 |
-
"special": true
|
92 |
-
},
|
93 |
-
"151654": {
|
94 |
-
"content": "<|vision_pad|>",
|
95 |
-
"lstrip": false,
|
96 |
-
"normalized": false,
|
97 |
-
"rstrip": false,
|
98 |
-
"single_word": false,
|
99 |
-
"special": true
|
100 |
-
},
|
101 |
-
"151655": {
|
102 |
-
"content": "<|image_pad|>",
|
103 |
-
"lstrip": false,
|
104 |
-
"normalized": false,
|
105 |
-
"rstrip": false,
|
106 |
-
"single_word": false,
|
107 |
-
"special": true
|
108 |
-
},
|
109 |
-
"151656": {
|
110 |
-
"content": "<|video_pad|>",
|
111 |
-
"lstrip": false,
|
112 |
-
"normalized": false,
|
113 |
-
"rstrip": false,
|
114 |
-
"single_word": false,
|
115 |
-
"special": true
|
116 |
-
},
|
117 |
-
"151657": {
|
118 |
-
"content": "<tool_call>",
|
119 |
-
"lstrip": false,
|
120 |
-
"normalized": false,
|
121 |
-
"rstrip": false,
|
122 |
-
"single_word": false,
|
123 |
-
"special": false
|
124 |
-
},
|
125 |
-
"151658": {
|
126 |
-
"content": "</tool_call>",
|
127 |
-
"lstrip": false,
|
128 |
-
"normalized": false,
|
129 |
-
"rstrip": false,
|
130 |
-
"single_word": false,
|
131 |
-
"special": false
|
132 |
-
},
|
133 |
-
"151659": {
|
134 |
-
"content": "<|fim_prefix|>",
|
135 |
-
"lstrip": false,
|
136 |
-
"normalized": false,
|
137 |
-
"rstrip": false,
|
138 |
-
"single_word": false,
|
139 |
-
"special": false
|
140 |
-
},
|
141 |
-
"151660": {
|
142 |
-
"content": "<|fim_middle|>",
|
143 |
-
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|
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166 |
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167 |
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168 |
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169 |
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171 |
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172 |
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173 |
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|
174 |
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175 |
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176 |
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178 |
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179 |
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|
180 |
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|
181 |
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|
182 |
-
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|
183 |
-
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|
184 |
-
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|
185 |
-
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|
186 |
-
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|
187 |
-
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|
188 |
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189 |
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190 |
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|
191 |
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192 |
-
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|
193 |
-
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|
194 |
-
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|
195 |
-
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|
196 |
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197 |
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198 |
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|
199 |
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|
200 |
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|
201 |
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|
202 |
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203 |
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|
204 |
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|
205 |
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|
206 |
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|
207 |
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}
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