初始化项目,由ModelHub XC社区提供模型
Model: huihui-ai/DeepSeek-R1-Distill-Qwen-1.5B-abliterated Source: Original Platform
This commit is contained in:
36
.gitattributes
vendored
Normal file
36
.gitattributes
vendored
Normal file
@@ -0,0 +1,36 @@
|
|||||||
|
*.7z filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.arrow filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.bin filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.bz2 filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.ckpt filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.ftz filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.gz filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.h5 filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.joblib filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.lfs.* filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.mlmodel filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.model filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.msgpack filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.npy filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.npz filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.onnx filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.ot filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.parquet filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.pb filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.pickle filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.pkl filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.pt filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.pth filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.rar filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.safetensors filter=lfs diff=lfs merge=lfs -text
|
||||||
|
saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.tar.* filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.tar filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.tflite filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.tgz filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.wasm filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.xz filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.zip filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*.zst filter=lfs diff=lfs merge=lfs -text
|
||||||
|
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
||||||
|
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
||||||
144
README.md
Normal file
144
README.md
Normal file
@@ -0,0 +1,144 @@
|
|||||||
|
---
|
||||||
|
base_model:
|
||||||
|
- deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
|
||||||
|
tags:
|
||||||
|
- text-generation-inference
|
||||||
|
- transformers
|
||||||
|
- unsloth
|
||||||
|
- abliterated
|
||||||
|
- uncensored
|
||||||
|
library_name: transformers
|
||||||
|
---
|
||||||
|
|
||||||
|
# huihui-ai/DeepSeek-R1-Distill-Qwen-1.5B-abliterated
|
||||||
|
|
||||||
|
This is an uncensored version of [deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B) reasoning model that has been post-trained by huihui-ai.
|
||||||
|
|
||||||
|
Please refer to [SFT with Unsloth](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen2.5_(7B)-Alpaca.ipynb#scrollTo=2ejIt2xSNKKp) for the training method.
|
||||||
|
|
||||||
|
This is a test conducted through fine-tuning for ablation to achieve the purpose of being uncensored, and the test results met the expected outcomes.
|
||||||
|
|
||||||
|
## Use with ollama
|
||||||
|
|
||||||
|
You can use [huihui_ai/deepseek-r1-abliterated](https://ollama.com/huihui_ai/deepseek-r1-abliterated) directly
|
||||||
|
```
|
||||||
|
ollama run huihui_ai/deepseek-r1-abliterated:1.5b
|
||||||
|
```
|
||||||
|
|
||||||
|
## Use with transformers
|
||||||
|
|
||||||
|
```
|
||||||
|
from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig, TextStreamer
|
||||||
|
import torch
|
||||||
|
import os
|
||||||
|
import signal
|
||||||
|
|
||||||
|
cpu_count = os.cpu_count()
|
||||||
|
print(f"Number of CPU cores in the system: {cpu_count}")
|
||||||
|
half_cpu_count = cpu_count // 2
|
||||||
|
os.environ["MKL_NUM_THREADS"] = str(half_cpu_count)
|
||||||
|
os.environ["OMP_NUM_THREADS"] = str(half_cpu_count)
|
||||||
|
torch.set_num_threads(half_cpu_count)
|
||||||
|
|
||||||
|
print(f"PyTorch threads: {torch.get_num_threads()}")
|
||||||
|
print(f"MKL threads: {os.getenv('MKL_NUM_THREADS')}")
|
||||||
|
print(f"OMP threads: {os.getenv('OMP_NUM_THREADS')}")
|
||||||
|
|
||||||
|
# Load the model and tokenizer
|
||||||
|
NEW_MODEL_ID = "huihui-ai/DeepSeek-R1-Distill-Qwen-1.5B-abliterated"
|
||||||
|
print(f"Load Model {NEW_MODEL_ID} ... ")
|
||||||
|
quant_config_4 = BitsAndBytesConfig(
|
||||||
|
load_in_4bit=True,
|
||||||
|
bnb_4bit_compute_dtype=torch.bfloat16,
|
||||||
|
bnb_4bit_use_double_quant=True,
|
||||||
|
llm_int8_enable_fp32_cpu_offload=True,
|
||||||
|
)
|
||||||
|
|
||||||
|
model = AutoModelForCausalLM.from_pretrained(
|
||||||
|
NEW_MODEL_ID,
|
||||||
|
device_map="auto",
|
||||||
|
trust_remote_code=True,
|
||||||
|
#quantization_config=quant_config_4,
|
||||||
|
torch_dtype=torch.bfloat16
|
||||||
|
)
|
||||||
|
tokenizer = AutoTokenizer.from_pretrained(NEW_MODEL_ID, trust_remote_code=True)
|
||||||
|
if tokenizer.pad_token is None:
|
||||||
|
tokenizer.pad_token = tokenizer.eos_token
|
||||||
|
tokenizer.pad_token_id = tokenizer.eos_token_id
|
||||||
|
|
||||||
|
initial_messages = [{"role": "system", "content": "You are a helpful assistant."}]
|
||||||
|
messages = initial_messages.copy()
|
||||||
|
|
||||||
|
class CustomTextStreamer(TextStreamer):
|
||||||
|
def __init__(self, tokenizer, skip_prompt=True, skip_special_tokens=True):
|
||||||
|
super().__init__(tokenizer, skip_prompt=skip_prompt, skip_special_tokens=skip_special_tokens)
|
||||||
|
self.generated_text = ""
|
||||||
|
self.stop_flag = False
|
||||||
|
|
||||||
|
def on_finalized_text(self, text: str, stream_end: bool = False):
|
||||||
|
self.generated_text += text
|
||||||
|
print(text, end="", flush=True)
|
||||||
|
if self.stop_flag:
|
||||||
|
raise StopIteration
|
||||||
|
|
||||||
|
def stop_generation(self):
|
||||||
|
self.stop_flag = True
|
||||||
|
|
||||||
|
def generate_stream(model, tokenizer, messages, max_new_tokens):
|
||||||
|
input_ids = tokenizer.apply_chat_template(
|
||||||
|
messages,
|
||||||
|
tokenize=True,
|
||||||
|
add_generation_prompt=True,
|
||||||
|
return_tensors="pt"
|
||||||
|
)
|
||||||
|
attention_mask = torch.ones_like(input_ids, dtype=torch.long)
|
||||||
|
tokens = input_ids.to(model.device)
|
||||||
|
attention_mask = attention_mask.to(model.device)
|
||||||
|
|
||||||
|
streamer = CustomTextStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True)
|
||||||
|
|
||||||
|
def signal_handler(sig, frame):
|
||||||
|
streamer.stop_generation()
|
||||||
|
print("\n[Generation stopped by user with Ctrl+C]")
|
||||||
|
|
||||||
|
signal.signal(signal.SIGINT, signal_handler)
|
||||||
|
|
||||||
|
print("Response: ", end="", flush=True)
|
||||||
|
try:
|
||||||
|
generated_ids = model.generate(
|
||||||
|
tokens,
|
||||||
|
attention_mask=attention_mask,
|
||||||
|
use_cache=False,
|
||||||
|
max_new_tokens=max_new_tokens,
|
||||||
|
do_sample=True,
|
||||||
|
pad_token_id=tokenizer.pad_token_id,
|
||||||
|
streamer=streamer
|
||||||
|
)
|
||||||
|
del generated_ids
|
||||||
|
except StopIteration:
|
||||||
|
print("\n[Stopped by user]")
|
||||||
|
|
||||||
|
del input_ids, attention_mask
|
||||||
|
torch.cuda.empty_cache()
|
||||||
|
signal.signal(signal.SIGINT, signal.SIG_DFL)
|
||||||
|
|
||||||
|
return streamer.generated_text, streamer.stop_flag
|
||||||
|
|
||||||
|
while True:
|
||||||
|
user_input = input("\nUser: ").strip()
|
||||||
|
if user_input.lower() == "/exit":
|
||||||
|
print("Exiting chat.")
|
||||||
|
break
|
||||||
|
if user_input.lower() == "/clear":
|
||||||
|
messages = initial_messages.copy()
|
||||||
|
print("Chat history cleared. Starting a new conversation.")
|
||||||
|
continue
|
||||||
|
if not user_input:
|
||||||
|
print("Input cannot be empty. Please enter something.")
|
||||||
|
continue
|
||||||
|
messages.append({"role": "user", "content": user_input})
|
||||||
|
response, stop_flag = generate_stream(model, tokenizer, messages, 8192)
|
||||||
|
if stop_flag:
|
||||||
|
continue
|
||||||
|
messages.append({"role": "assistant", "content": response})
|
||||||
|
```
|
||||||
31
config.json
Normal file
31
config.json
Normal file
@@ -0,0 +1,31 @@
|
|||||||
|
{
|
||||||
|
"architectures": [
|
||||||
|
"Qwen2ForCausalLM"
|
||||||
|
],
|
||||||
|
"attention_dropout": 0.0,
|
||||||
|
"bos_token_id": 151643,
|
||||||
|
"eos_token_id": 151643,
|
||||||
|
"hidden_act": "silu",
|
||||||
|
"hidden_size": 1536,
|
||||||
|
"initializer_range": 0.02,
|
||||||
|
"intermediate_size": 8960,
|
||||||
|
"max_position_embeddings": 131072,
|
||||||
|
"max_window_layers": 21,
|
||||||
|
"model_type": "qwen2",
|
||||||
|
"num_attention_heads": 12,
|
||||||
|
"num_hidden_layers": 28,
|
||||||
|
"num_key_value_heads": 2,
|
||||||
|
"pad_token_id": 151654,
|
||||||
|
"rms_norm_eps": 1e-06,
|
||||||
|
"rope_scaling": null,
|
||||||
|
"rope_theta": 10000,
|
||||||
|
"sliding_window": 4096,
|
||||||
|
"tie_word_embeddings": false,
|
||||||
|
"torch_dtype": "bfloat16",
|
||||||
|
"transformers_version": "4.51.1",
|
||||||
|
"unsloth_version": "2025.3.19",
|
||||||
|
"use_cache": true,
|
||||||
|
"use_mrope": false,
|
||||||
|
"use_sliding_window": false,
|
||||||
|
"vocab_size": 151936
|
||||||
|
}
|
||||||
11
generation_config.json
Normal file
11
generation_config.json
Normal file
@@ -0,0 +1,11 @@
|
|||||||
|
{
|
||||||
|
"_from_model_config": true,
|
||||||
|
"bos_token_id": 151646,
|
||||||
|
"do_sample": true,
|
||||||
|
"eos_token_id": 151643,
|
||||||
|
"max_length": 131072,
|
||||||
|
"pad_token_id": 151654,
|
||||||
|
"temperature": 0.6,
|
||||||
|
"top_p": 0.95,
|
||||||
|
"transformers_version": "4.51.1"
|
||||||
|
}
|
||||||
3
model.safetensors
Normal file
3
model.safetensors
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:d464b76b5acb42925d37ffd8f46f71af9163505587f2a85ff100b8697e5fa599
|
||||||
|
size 3554214752
|
||||||
17
special_tokens_map.json
Normal file
17
special_tokens_map.json
Normal file
@@ -0,0 +1,17 @@
|
|||||||
|
{
|
||||||
|
"bos_token": {
|
||||||
|
"content": "<|begin▁of▁sentence|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
},
|
||||||
|
"eos_token": {
|
||||||
|
"content": "<|end▁of▁sentence|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
},
|
||||||
|
"pad_token": "<|vision_pad|>"
|
||||||
|
}
|
||||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:e20ddafc659ba90242154b55275402edeca0715e5dbb30f56815a4ce081f4893
|
||||||
|
size 11422778
|
||||||
196
tokenizer_config.json
Normal file
196
tokenizer_config.json
Normal file
@@ -0,0 +1,196 @@
|
|||||||
|
{
|
||||||
|
"add_bos_token": true,
|
||||||
|
"add_eos_token": false,
|
||||||
|
"add_prefix_space": null,
|
||||||
|
"added_tokens_decoder": {
|
||||||
|
"151643": {
|
||||||
|
"content": "<|end▁of▁sentence|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151644": {
|
||||||
|
"content": "<|User|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151645": {
|
||||||
|
"content": "<|Assistant|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151646": {
|
||||||
|
"content": "<|begin▁of▁sentence|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151647": {
|
||||||
|
"content": "<|EOT|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151648": {
|
||||||
|
"content": "<think>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151649": {
|
||||||
|
"content": "</think>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151650": {
|
||||||
|
"content": "<|quad_start|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151651": {
|
||||||
|
"content": "<|quad_end|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151652": {
|
||||||
|
"content": "<|vision_start|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151653": {
|
||||||
|
"content": "<|vision_end|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151654": {
|
||||||
|
"content": "<|vision_pad|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151655": {
|
||||||
|
"content": "<|image_pad|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151656": {
|
||||||
|
"content": "<|video_pad|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151657": {
|
||||||
|
"content": "<tool_call>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151658": {
|
||||||
|
"content": "</tool_call>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151659": {
|
||||||
|
"content": "<|fim_prefix|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151660": {
|
||||||
|
"content": "<|fim_middle|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151661": {
|
||||||
|
"content": "<|fim_suffix|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151662": {
|
||||||
|
"content": "<|fim_pad|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151663": {
|
||||||
|
"content": "<|repo_name|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151664": {
|
||||||
|
"content": "<|file_sep|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"bos_token": "<|begin▁of▁sentence|>",
|
||||||
|
"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='') %}{%- for message in messages %}{%- if message['role'] == 'system' %}{% set ns.system_prompt = message['content'] %}{%- endif %}{%- endfor %}{{bos_token}}{{ns.system_prompt}}{%- for message in messages %}{%- if message['role'] == 'user' %}{%- set ns.is_tool = false -%}{{'<|User|>' + message['content']}}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is none %}{%- set ns.is_tool = false -%}{%- for tool in message['tool_calls']%}{%- if not ns.is_first %}{{'<|Assistant|><|tool▁calls▁begin|><|tool▁call▁begin|>' + tool['type'] + '<|tool▁sep|>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<|tool▁call▁end|>'}}{%- set ns.is_first = true -%}{%- else %}{{'\\n' + '<|tool▁call▁begin|>' + tool['type'] + '<|tool▁sep|>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<|tool▁call▁end|>'}}{{'<|tool▁calls▁end|><|end▁of▁sentence|>'}}{%- endif %}{%- endfor %}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is not none %}{%- if ns.is_tool %}{{'<|tool▁outputs▁end|>' + message['content'] + '<|end▁of▁sentence|>'}}{%- set ns.is_tool = false -%}{%- else %}{% set content = message['content'] %}{% if '</think>' in content %}{% set content = content.split('</think>')[-1] %}{% endif %}{{'<|Assistant|>' + content + '<|end▁of▁sentence|>'}}{%- endif %}{%- endif %}{%- if message['role'] == 'tool' %}{%- set ns.is_tool = true -%}{%- if ns.is_output_first %}{{'<|tool▁outputs▁begin|><|tool▁output▁begin|>' + message['content'] + '<|tool▁output▁end|>'}}{%- set ns.is_output_first = false %}{%- else %}{{'\\n<|tool▁output▁begin|>' + message['content'] + '<|tool▁output▁end|>'}}{%- endif %}{%- endif %}{%- endfor -%}{% if ns.is_tool %}{{'<|tool▁outputs▁end|>'}}{% endif %}{% if add_generation_prompt and not ns.is_tool %}{{'<|Assistant|><think>\\n'}}{% endif %}",
|
||||||
|
"clean_up_tokenization_spaces": false,
|
||||||
|
"eos_token": "<|end▁of▁sentence|>",
|
||||||
|
"extra_special_tokens": {},
|
||||||
|
"legacy": true,
|
||||||
|
"model_max_length": 131072,
|
||||||
|
"pad_token": "<|vision_pad|>",
|
||||||
|
"padding_side": "left",
|
||||||
|
"sp_model_kwargs": {},
|
||||||
|
"tokenizer_class": "LlamaTokenizerFast",
|
||||||
|
"unk_token": null,
|
||||||
|
"use_default_system_prompt": false
|
||||||
|
}
|
||||||
Reference in New Issue
Block a user