Upload 15 files
Browse files- LICENSE +202 -0
- README.md +97 -3
- added_tokens.json +24 -0
- config.json +27 -0
- generation_config.json +15 -0
- merges.txt +0 -0
- model-00001-of-00004.safetensors +3 -0
- model-00002-of-00004.safetensors +3 -0
- model-00003-of-00004.safetensors +3 -0
- model-00004-of-00004.safetensors +3 -0
- model.safetensors.index.json +346 -0
- special_tokens_map.json +25 -0
- tokenizer.json +0 -0
- tokenizer_config.json +207 -0
- vocab.json +0 -0
LICENSE
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README.md
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---
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---
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library_name: transformers
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license: apache-2.0
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license_link: https://huggingface.co/huihui-ai/Qwen2.5-Code-7B-Instruct-abliterated/blob/main/LICENSE
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language:
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- en
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pipeline_tag: text-generation
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base_model: Qwen/Qwen2.5-Code-7B-Instruct
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tags:
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- chat
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- abliterated
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- uncensored
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---
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# huihui-ai/Qwen2.5-Code-1.5B-Instruct-abliterated
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This is an uncensored version of [Qwen2.5-Code-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Code-7B-Instruct) created with abliteration (see [this article](https://huggingface.co/blog/mlabonne/abliteration) to know more about it).
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Special thanks to [@FailSpy](https://huggingface.co/failspy) for the original code and technique. Please follow him if you're interested in abliterated models.
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## Usage
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You can use this model in your applications by loading it with Hugging Face's `transformers` library:
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+
```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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+
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# Load the model and tokenizer
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model_name = "huihui-ai/Qwen2.5-Code-7B-Instruct-abliterated"
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+
model = AutoModelForCausalLM.from_pretrained(
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+
model_name,
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+
torch_dtype="auto",
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+
device_map="auto"
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)
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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+
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# Initialize conversation context
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+
initial_messages = [
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{"role": "system", "content": "You are Qwen, created by Alibaba Cloud. You are a helpful assistant."}
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]
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+
messages = initial_messages.copy() # Copy the initial conversation context
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+
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# Enter conversation loop
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while True:
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# Get user input
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user_input = input("User: ").strip() # Strip leading and trailing spaces
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+
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+
# If the user types '/exit', end the conversation
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if user_input.lower() == "/exit":
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print("Exiting chat.")
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break
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+
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+
# If the user types '/clean', reset the conversation context
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+
if user_input.lower() == "/clean":
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+
messages = initial_messages.copy() # Reset conversation context
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+
print("Chat history cleared. Starting a new conversation.")
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+
continue
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59 |
+
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+
# If input is empty, prompt the user and continue
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61 |
+
if not user_input:
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62 |
+
print("Input cannot be empty. Please enter something.")
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+
continue
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64 |
+
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65 |
+
# Add user input to the conversation
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66 |
+
messages.append({"role": "user", "content": user_input})
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67 |
+
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+
# Build the chat template
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69 |
+
text = tokenizer.apply_chat_template(
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70 |
+
messages,
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71 |
+
tokenize=False,
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72 |
+
add_generation_prompt=True
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73 |
+
)
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+
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75 |
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# Tokenize input and prepare it for the model
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76 |
+
model_inputs = tokenizer([text], return_tensors="pt").to(model.device)
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77 |
+
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+
# Generate a response from the model
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79 |
+
generated_ids = model.generate(
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80 |
+
**model_inputs,
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81 |
+
max_new_tokens=8192
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+
)
|
83 |
+
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84 |
+
# Extract model output, removing special tokens
|
85 |
+
generated_ids = [
|
86 |
+
output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids)
|
87 |
+
]
|
88 |
+
response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
|
89 |
+
|
90 |
+
# Add the model's response to the conversation
|
91 |
+
messages.append({"role": "assistant", "content": response})
|
92 |
+
|
93 |
+
# Print the model's response
|
94 |
+
print(f"Qwen: {response}")
|
95 |
+
|
96 |
+
```
|
97 |
+
|
added_tokens.json
ADDED
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"</tool_call>": 151658,
|
3 |
+
"<tool_call>": 151657,
|
4 |
+
"<|box_end|>": 151649,
|
5 |
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"<|box_start|>": 151648,
|
6 |
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"<|endoftext|>": 151643,
|
7 |
+
"<|file_sep|>": 151664,
|
8 |
+
"<|fim_middle|>": 151660,
|
9 |
+
"<|fim_pad|>": 151662,
|
10 |
+
"<|fim_prefix|>": 151659,
|
11 |
+
"<|fim_suffix|>": 151661,
|
12 |
+
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|
13 |
+
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|
14 |
+
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|
15 |
+
"<|object_ref_end|>": 151647,
|
16 |
+
"<|object_ref_start|>": 151646,
|
17 |
+
"<|quad_end|>": 151651,
|
18 |
+
"<|quad_start|>": 151650,
|
19 |
+
"<|repo_name|>": 151663,
|
20 |
+
"<|video_pad|>": 151656,
|
21 |
+
"<|vision_end|>": 151653,
|
22 |
+
"<|vision_pad|>": 151654,
|
23 |
+
"<|vision_start|>": 151652
|
24 |
+
}
|
config.json
ADDED
@@ -0,0 +1,27 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"architectures": [
|
3 |
+
"Qwen2ForCausalLM"
|
4 |
+
],
|
5 |
+
"attention_dropout": 0.0,
|
6 |
+
"bos_token_id": 151643,
|
7 |
+
"eos_token_id": 151643,
|
8 |
+
"hidden_act": "silu",
|
9 |
+
"hidden_size": 3584,
|
10 |
+
"initializer_range": 0.02,
|
11 |
+
"intermediate_size": 18944,
|
12 |
+
"max_position_embeddings": 32768,
|
13 |
+
"max_window_layers": 28,
|
14 |
+
"model_type": "qwen2",
|
15 |
+
"num_attention_heads": 28,
|
16 |
+
"num_hidden_layers": 28,
|
17 |
+
"num_key_value_heads": 4,
|
18 |
+
"rms_norm_eps": 1e-06,
|
19 |
+
"rope_theta": 1000000.0,
|
20 |
+
"sliding_window": 131072,
|
21 |
+
"tie_word_embeddings": false,
|
22 |
+
"torch_dtype": "bfloat16",
|
23 |
+
"transformers_version": "4.44.0",
|
24 |
+
"use_cache": true,
|
25 |
+
"use_sliding_window": false,
|
26 |
+
"vocab_size": 152064
|
27 |
+
}
|
generation_config.json
ADDED
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
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"bos_token_id": 151643,
|
3 |
+
"pad_token_id": 151643,
|
4 |
+
"do_sample": true,
|
5 |
+
"eos_token_id": [
|
6 |
+
151645,
|
7 |
+
151643
|
8 |
+
],
|
9 |
+
"repetition_penalty": 1.1,
|
10 |
+
"temperature": 0.7,
|
11 |
+
"top_p": 0.8,
|
12 |
+
"top_k": 20,
|
13 |
+
"transformers_version": "4.37.0"
|
14 |
+
}
|
15 |
+
|
merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
model-00001-of-00004.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
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1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:735fe456b57293ebec7042fec17b4e7c7b88412200aa48c4eeef269fd1b1b650
|
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size 4877660776
|
model-00002-of-00004.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:c0922b7a0dd1a6a1e91461de63b5a7f41d325adbff4a974379f642b284adbad2
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size 4932751008
|
model-00003-of-00004.safetensors
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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model-00004-of-00004.safetensors
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version https://git-lfs.github.com/spec/v1
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|
model.safetensors.index.json
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@@ -0,0 +1,25 @@
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tokenizer.json
ADDED
The diff for this file is too large to render.
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tokenizer_config.json
ADDED
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},
|
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 |
+
"lstrip": false,
|
144 |
+
"normalized": false,
|
145 |
+
"rstrip": false,
|
146 |
+
"single_word": false,
|
147 |
+
"special": false
|
148 |
+
},
|
149 |
+
"151661": {
|
150 |
+
"content": "<|fim_suffix|>",
|
151 |
+
"lstrip": false,
|
152 |
+
"normalized": false,
|
153 |
+
"rstrip": false,
|
154 |
+
"single_word": false,
|
155 |
+
"special": false
|
156 |
+
},
|
157 |
+
"151662": {
|
158 |
+
"content": "<|fim_pad|>",
|
159 |
+
"lstrip": false,
|
160 |
+
"normalized": false,
|
161 |
+
"rstrip": false,
|
162 |
+
"single_word": false,
|
163 |
+
"special": false
|
164 |
+
},
|
165 |
+
"151663": {
|
166 |
+
"content": "<|repo_name|>",
|
167 |
+
"lstrip": false,
|
168 |
+
"normalized": false,
|
169 |
+
"rstrip": false,
|
170 |
+
"single_word": false,
|
171 |
+
"special": false
|
172 |
+
},
|
173 |
+
"151664": {
|
174 |
+
"content": "<|file_sep|>",
|
175 |
+
"lstrip": false,
|
176 |
+
"normalized": false,
|
177 |
+
"rstrip": false,
|
178 |
+
"single_word": false,
|
179 |
+
"special": false
|
180 |
+
}
|
181 |
+
},
|
182 |
+
"additional_special_tokens": [
|
183 |
+
"<|im_start|>",
|
184 |
+
"<|im_end|>",
|
185 |
+
"<|object_ref_start|>",
|
186 |
+
"<|object_ref_end|>",
|
187 |
+
"<|box_start|>",
|
188 |
+
"<|box_end|>",
|
189 |
+
"<|quad_start|>",
|
190 |
+
"<|quad_end|>",
|
191 |
+
"<|vision_start|>",
|
192 |
+
"<|vision_end|>",
|
193 |
+
"<|vision_pad|>",
|
194 |
+
"<|image_pad|>",
|
195 |
+
"<|video_pad|>"
|
196 |
+
],
|
197 |
+
"bos_token": null,
|
198 |
+
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}\n {%- endif %}\n {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n {%- else %}\n {{- '<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
|
199 |
+
"clean_up_tokenization_spaces": false,
|
200 |
+
"eos_token": "<|im_end|>",
|
201 |
+
"errors": "replace",
|
202 |
+
"model_max_length": 131072,
|
203 |
+
"pad_token": "<|im_end|>",
|
204 |
+
"split_special_tokens": false,
|
205 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
206 |
+
"unk_token": null
|
207 |
+
}
|
vocab.json
ADDED
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|
|