初始化项目，由ModelHub XC社区提供模型
Model: dicta-il/DictaLM-3.0-1.7B-Thinking Source: Original Platform
This commit is contained in:
ModelHub XC
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
|
||||||
96
README.md
Normal file
96
README.md
Normal file
@@ -0,0 +1,96 @@
|
|||||||
|
---
|
||||||
|
license: apache-2.0
|
||||||
|
pipeline_tag: text-generation
|
||||||
|
language:
|
||||||
|
- en
|
||||||
|
- he
|
||||||
|
tags:
|
||||||
|
- pretrained
|
||||||
|
inference:
|
||||||
|
parameters:
|
||||||
|
temperature: 0.6
|
||||||
|
---
|
||||||
|
|
||||||
|
[<img src="https://i.ibb.co/5Lbwyr1/dicta-logo.jpg" width="300px"/>](https://dicta.org.il)
|
||||||
|
|
||||||
|
# Dicta-LM 3.0: Advancing The Frontier of Hebrew Sovereign LLMs
|
||||||
|
|
||||||
|
Dicta-LM 3.0 is a powerful open-weight collection of LLMs, trained on extensive corpora of Hebrew and English texts. The models are available for download and for unlimited use. The models set a new SOTA for their weight-class for Hebrew, both as base models and chat models.
|
||||||
|
|
||||||
|
This is the 1.7-billion-parameter *reasoning* model, with full precision (BF16), originally initialized from [Qwen3-1.7B-Base](https://huggingface.co/Qwen/Qwen3-1.7B-Base).
|
||||||
|
|
||||||
|
This model is a reasoning chat model, which means that before responding to any given message from the user, the model first thinks out the right way to respond in a designated thinking block.
|
||||||
|
|
||||||
|
For full details of this model please read our [release blog post](https://dicta.org.il/dicta-lm-3) or the [technical report](https://www.dicta.org.il/publications/DictaLM_3_0___Techincal_Report.pdf).
|
||||||
|
|
||||||
|
You can view and access the full collection of base/instruct unquantized/quantized versions of `DictaLM 3.0` [here](https://huggingface.co/collections/dicta-il/dictalm-30-collection).
|
||||||
|
|
||||||
|
## Instruction format
|
||||||
|
|
||||||
|
In order to leverage instruction fine-tuning, your prompt should be rendered using the chat template specified for this model. Most libraries deal with this automatically, so you can just let them do it.
|
||||||
|
|
||||||
|
## Usage
|
||||||
|
|
||||||
|
We recommend using vLLM, but you can use Transformers as well:
|
||||||
|
|
||||||
|
### Transformers
|
||||||
|
|
||||||
|
```python
|
||||||
|
|
||||||
|
from transformers import pipeline
|
||||||
|
|
||||||
|
generator = pipeline('text-generation', model="dicta-il/DictaLM-3.0-1.7B-Thinking")
|
||||||
|
|
||||||
|
messages = [
|
||||||
|
{"role": "user", "content": "איזה רוטב אהוב עליך?"},
|
||||||
|
{"role": "assistant", "content": "טוב, אני די מחבב כמה טיפות מיץ לימון סחוט טרי. זה מוסיף בדיוק את הכמות הנכונה של טעם חמצמץ לכל מה שאני מבשל במטבח!"},
|
||||||
|
{"role": "user", "content": "האם יש לך מתכונים למיונז?"}
|
||||||
|
]
|
||||||
|
|
||||||
|
print(generator(messages)[0]['generated_text'][-1]) # just print the last message
|
||||||
|
# 'role': 'assistant', 'content': 'המשתמש שואל: "האם יש לך מתכונים למיונז?" אנחנו צריכים לספק מתכונים למיונז. לספק מתכונים ברורים, אולי עם שלבים. לספק כמה גרסאות. צריך להיות ידידותי.</think>בהחלט! הנה כמה מתכונים קלים, טעימים למיונז שתוכל לנסות. בחר את זה שמתאים לאפיון המטבח שלך, והרגיש חופשי להתאים את העוצמה של החריפות או התיבול לפי הטעם שלך.\n\n---\n\n## 1. מיונז בסיסי (מתכון בסיסי)\n\n**מרכיבים**\n- 2 כוסות חלב (או כל חלב מתוק אחר)\n- 1 ביצה גדולה\n- 1 כפית מיץ לימון טרי\n- 1 כפית מיץ תפוזים טרי (אופציונלי)\n- 1⁄2 כפית חרדל דיז\'ון\n- 1⁄2 כפית מלח\n- 1⁄4 כפית פלפל שחור טחון טרי\n\n**הוראות**\n1. **הכנת הביצה** – בקערה, טורפים יחד ביצה'}
|
||||||
|
```
|
||||||
|
|
||||||
|
### vLLM
|
||||||
|
|
||||||
|
```bash
|
||||||
|
vllm serve dicta-il/DictaLM-3.0-1.7B-Thinking --enable-auto-tool-choice --tool-call-parser hermes --reasoning_parser deepseek_r1
|
||||||
|
```
|
||||||
|
|
||||||
|
And then you can access it via the openai library:
|
||||||
|
|
||||||
|
```python
|
||||||
|
from openai import OpenAI
|
||||||
|
|
||||||
|
client = OpenAI(
|
||||||
|
base_url="http://localhost:8000/v1",
|
||||||
|
api_key="sk-no-key-required"
|
||||||
|
)
|
||||||
|
|
||||||
|
response = client.chat.completions.create(
|
||||||
|
model="dicta-il/DictaLM-3.0-1.7B-Thinking",
|
||||||
|
messages=[
|
||||||
|
{"role": "user", "content": "Hello, how are you?"}
|
||||||
|
],
|
||||||
|
)
|
||||||
|
|
||||||
|
print(response.choices[0].message.content)
|
||||||
|
```
|
||||||
|
|
||||||
|
> The reasoning traces should be available in the response structure in the designated fild.
|
||||||
|
|
||||||
|
The model supports tool-calling, enabling integration with external tools and APIs. For example how to use the tool calling, see the [vLLM documentation](https://docs.vllm.ai/en/stable/features/tool_calling/#tool-calling).
|
||||||
|
|
||||||
|
## Citation
|
||||||
|
|
||||||
|
If you use this model, please cite:
|
||||||
|
|
||||||
|
```bibtex
|
||||||
|
@article{Shmidman2025DictaLM3,
|
||||||
|
title={{Dicta-LM 3.0: Advancing The Frontier of Hebrew Sovereign LLMs}},
|
||||||
|
author={Shaltiel Shmidman and Avi Shmidman and Amir DN Cohen and Moshe Koppel},
|
||||||
|
year={2025},
|
||||||
|
publisher={{DICTA / Jerusalem, Israel}},
|
||||||
|
note={https://www.dicta.org.il/publications/DictaLM_3_0___Techincal_Report.pdf}
|
||||||
|
}
|
||||||
|
```
|
||||||
28
added_tokens.json
Normal file
28
added_tokens.json
Normal file
@@ -0,0 +1,28 @@
|
|||||||
|
{
|
||||||
|
"</think>": 151668,
|
||||||
|
"</tool_call>": 151658,
|
||||||
|
"</tool_response>": 151666,
|
||||||
|
"<think>": 151667,
|
||||||
|
"<tool_call>": 151657,
|
||||||
|
"<tool_response>": 151665,
|
||||||
|
"<|box_end|>": 151649,
|
||||||
|
"<|box_start|>": 151648,
|
||||||
|
"<|endoftext|>": 151643,
|
||||||
|
"<|file_sep|>": 151664,
|
||||||
|
"<|fim_middle|>": 151660,
|
||||||
|
"<|fim_pad|>": 151662,
|
||||||
|
"<|fim_prefix|>": 151659,
|
||||||
|
"<|fim_suffix|>": 151661,
|
||||||
|
"<|im_end|>": 151645,
|
||||||
|
"<|im_start|>": 151644,
|
||||||
|
"<|image_pad|>": 151655,
|
||||||
|
"<|object_ref_end|>": 151647,
|
||||||
|
"<|object_ref_start|>": 151646,
|
||||||
|
"<|quad_end|>": 151651,
|
||||||
|
"<|quad_start|>": 151650,
|
||||||
|
"<|repo_name|>": 151663,
|
||||||
|
"<|video_pad|>": 151656,
|
||||||
|
"<|vision_end|>": 151653,
|
||||||
|
"<|vision_pad|>": 151654,
|
||||||
|
"<|vision_start|>": 151652
|
||||||
|
}
|
||||||
92
chat_template.jinja
Normal file
92
chat_template.jinja
Normal file
@@ -0,0 +1,92 @@
|
|||||||
|
{# ───── header (system message) ───── #}
|
||||||
|
{{- "<|im_start|>system\n" -}}
|
||||||
|
{# ───── get the custom instructions + optional thinking override ───── #}
|
||||||
|
{%- if messages[0].role == "system" -%}
|
||||||
|
{%- set custom_instructions = messages[0].content.rstrip() -%}
|
||||||
|
{%- endif -%}
|
||||||
|
{# ───── set the system prompt ───── #}
|
||||||
|
{%- if custom_instructions -%}
|
||||||
|
{{- custom_instructions -}}
|
||||||
|
{%- else -%}
|
||||||
|
{{- "You are a helpful AI assistant named Dicta-LM 3.0, Trained by Dicta, the Israel Center for Text Analysis. Your role is to provide accurate, helpful, and well-structured responses to user questions and requests.\nProvide clear, logical, and precise answers that thoroughly address what the user is asking for. Structure your responses in a way that is easy to understand and follow." -}}
|
||||||
|
{%- endif -%}
|
||||||
|
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages | length - 1) -%}
|
||||||
|
{%- for message in messages[::-1] -%}
|
||||||
|
{%- set index = messages | length - 1 - loop.index0 -%}
|
||||||
|
{%- if ns.multi_step_tool and message.role == "user" and message.content is string and not (message.content.startswith("<tool_response>") and message.content.endswith("</tool_response>")) -%}
|
||||||
|
{%- set ns.multi_step_tool = false -%}
|
||||||
|
{%- set ns.last_query_index = index -%}
|
||||||
|
{%- endif -%}
|
||||||
|
{%- endfor -%}
|
||||||
|
{%- if tools -%}
|
||||||
|
{{- "\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>" -}}
|
||||||
|
{%- for tool in tools -%}
|
||||||
|
{{- "\n" -}}
|
||||||
|
{{- tool | tojson -}}
|
||||||
|
{%- endfor -%}
|
||||||
|
{{- "\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>" -}}
|
||||||
|
{%- endif -%}
|
||||||
|
{{- "<|im_end|>" -}}
|
||||||
|
{%- for message in messages -%}
|
||||||
|
{%- if message.content is string -%}
|
||||||
|
{%- set content = message.content -%}
|
||||||
|
{%- else -%}
|
||||||
|
{%- set content = "" -%}
|
||||||
|
{%- endif -%}
|
||||||
|
{%- if message.role == "user" or message.role == "system" and not loop.first -%}
|
||||||
|
{{- "\n<|im_start|>" + message.role + "\n" + content + "<|im_end|>" -}}
|
||||||
|
{%- elif message.role == "assistant" -%}
|
||||||
|
{% generation %}
|
||||||
|
{%- set reasoning_content = "" -%}
|
||||||
|
{%- if message.reasoning_content is string -%}
|
||||||
|
{%- set reasoning_content = message.reasoning_content -%}
|
||||||
|
{%- elif "</think>" in content -%}
|
||||||
|
{%- set reasoning_content = content.split("</think>")[0].rstrip("\n").split("<think>")[-1].lstrip("\n") -%}
|
||||||
|
{%- set content = content.split("</think>")[-1].lstrip("\n") -%}
|
||||||
|
{%- endif -%}
|
||||||
|
{%- if loop.index0 > ns.last_query_index -%}
|
||||||
|
{%- if loop.last or not loop.last and reasoning_content -%}
|
||||||
|
{{- "\n<|im_start|>" + message.role + "\n<think>" + reasoning_content.strip("\n") + "</think>" + content.lstrip("\n") -}}
|
||||||
|
{%- else -%}
|
||||||
|
{{- "\n<|im_start|>" + message.role + "\n" + content -}}
|
||||||
|
{%- endif -%}
|
||||||
|
{%- else -%}
|
||||||
|
{{- "\n<|im_start|>" + message.role + "\n" + content -}}
|
||||||
|
{%- endif -%}
|
||||||
|
{%- if message.tool_calls -%}
|
||||||
|
{%- for tool_call in message.tool_calls -%}
|
||||||
|
{%- if loop.first and content or not loop.first -%}
|
||||||
|
{{- "\n" -}}
|
||||||
|
{%- endif -%}
|
||||||
|
{%- if tool_call.function -%}
|
||||||
|
{%- set tool_call = tool_call.function -%}
|
||||||
|
{%- endif -%}
|
||||||
|
{{- "<tool_call>\n{\"name\": \"" -}}
|
||||||
|
{{- tool_call.name -}}
|
||||||
|
{{- "\", \"arguments\": " -}}
|
||||||
|
{%- if tool_call.arguments is string -%}
|
||||||
|
{{- tool_call.arguments -}}
|
||||||
|
{%- else -%}
|
||||||
|
{{- tool_call.arguments | tojson -}}
|
||||||
|
{%- endif -%}
|
||||||
|
{{- "}\n</tool_call>" -}}
|
||||||
|
{%- endfor -%}
|
||||||
|
{%- endif -%}
|
||||||
|
{{- "<|im_end|>" -}}
|
||||||
|
{% endgeneration %}
|
||||||
|
{%- elif message.role == "tool" -%}
|
||||||
|
{%- if loop.first or messages[loop.index0 - 1].role != "tool" -%}
|
||||||
|
{{- "\n<|im_start|>user" -}}
|
||||||
|
{%- endif -%}
|
||||||
|
{{- "\n<tool_response>\n" -}}
|
||||||
|
{{- content -}}
|
||||||
|
{{- "\n</tool_response>" -}}
|
||||||
|
{%- if loop.last or messages[loop.index0 + 1].role != "tool" -%}
|
||||||
|
{{- "<|im_end|>" -}}
|
||||||
|
{%- endif -%}
|
||||||
|
{%- endif -%}
|
||||||
|
{%- endfor -%}
|
||||||
|
{{- "\n" -}}
|
||||||
|
{%- if add_generation_prompt -%}
|
||||||
|
{{- "<|im_start|>assistant\n<think>" -}}
|
||||||
|
{%- endif -%}
|
||||||
58
config.json
Normal file
58
config.json
Normal file
@@ -0,0 +1,58 @@
|
|||||||
|
{
|
||||||
|
"architectures": [
|
||||||
|
"Qwen3ForCausalLM"
|
||||||
|
],
|
||||||
|
"attention_bias": false,
|
||||||
|
"attention_dropout": 0.0,
|
||||||
|
"head_dim": 128,
|
||||||
|
"hidden_act": "silu",
|
||||||
|
"hidden_size": 2048,
|
||||||
|
"initializer_range": 0.02,
|
||||||
|
"intermediate_size": 6144,
|
||||||
|
"layer_types": [
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention",
|
||||||
|
"full_attention"
|
||||||
|
],
|
||||||
|
"max_position_embeddings": 62080,
|
||||||
|
"max_window_layers": 28,
|
||||||
|
"model_type": "qwen3",
|
||||||
|
"num_attention_heads": 16,
|
||||||
|
"num_hidden_layers": 28,
|
||||||
|
"num_key_value_heads": 8,
|
||||||
|
"rms_norm_eps": 1e-06,
|
||||||
|
"rope_scaling": null,
|
||||||
|
"rope_theta": 1000000.0,
|
||||||
|
"sliding_window": null,
|
||||||
|
"tie_word_embeddings": true,
|
||||||
|
"torch_dtype": "bfloat16",
|
||||||
|
"transformers_version": "4.55.4",
|
||||||
|
"use_cache": true,
|
||||||
|
"use_sliding_window": false,
|
||||||
|
"vocab_size": 151936
|
||||||
|
}
|
||||||
14
generation_config.json
Normal file
14
generation_config.json
Normal file
@@ -0,0 +1,14 @@
|
|||||||
|
{
|
||||||
|
"bos_token_id": 151643,
|
||||||
|
"do_sample": true,
|
||||||
|
"eos_token_id": [
|
||||||
|
151645,
|
||||||
|
151643
|
||||||
|
],
|
||||||
|
"pad_token_id": 151643,
|
||||||
|
"temperature": 0.6,
|
||||||
|
"top_k": 20,
|
||||||
|
"top_p": 0.95,
|
||||||
|
"transformers_version": "4.55.4",
|
||||||
|
"trust_remote_code": true
|
||||||
|
}
|
||||||
151388
merges.txt
Normal file
151388
merges.txt
Normal file
File diff suppressed because it is too large
Load Diff
3
model.safetensors
Normal file
3
model.safetensors
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:cec0cdb331e6c4148b17593527f0a5be3b2562a54aa3afc145aabd580c943fea
|
||||||
|
size 3441185576
|
||||||
38
special_tokens_map.json
Normal file
38
special_tokens_map.json
Normal file
@@ -0,0 +1,38 @@
|
|||||||
|
{
|
||||||
|
"additional_special_tokens": [
|
||||||
|
"<|im_start|>",
|
||||||
|
"<|im_end|>",
|
||||||
|
"<|object_ref_start|>",
|
||||||
|
"<|object_ref_end|>",
|
||||||
|
"<|box_start|>",
|
||||||
|
"<|box_end|>",
|
||||||
|
"<|quad_start|>",
|
||||||
|
"<|quad_end|>",
|
||||||
|
"<|vision_start|>",
|
||||||
|
"<|vision_end|>",
|
||||||
|
"<|vision_pad|>",
|
||||||
|
"<|image_pad|>",
|
||||||
|
"<|video_pad|>"
|
||||||
|
],
|
||||||
|
"eos_token": {
|
||||||
|
"content": "<|endoftext|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
},
|
||||||
|
"pad_token": {
|
||||||
|
"content": "<|endoftext|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
},
|
||||||
|
"sep_token": {
|
||||||
|
"content": "<|endoftext|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false
|
||||||
|
}
|
||||||
|
}
|
||||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
|||||||
|
version https://git-lfs.github.com/spec/v1
|
||||||
|
oid sha256:3c3dfe474a8bbe89b0e83627fd9ff784ad71027f12fd8c618708c818e808789d
|
||||||
|
size 11422648
|
||||||
240
tokenizer_config.json
Normal file
240
tokenizer_config.json
Normal file
@@ -0,0 +1,240 @@
|
|||||||
|
{
|
||||||
|
"add_bos_token": false,
|
||||||
|
"add_prefix_space": false,
|
||||||
|
"added_tokens_decoder": {
|
||||||
|
"151643": {
|
||||||
|
"content": "<|endoftext|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151644": {
|
||||||
|
"content": "<|im_start|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151645": {
|
||||||
|
"content": "<|im_end|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151646": {
|
||||||
|
"content": "<|object_ref_start|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151647": {
|
||||||
|
"content": "<|object_ref_end|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151648": {
|
||||||
|
"content": "<|box_start|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"151649": {
|
||||||
|
"content": "<|box_end|>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": true
|
||||||
|
},
|
||||||
|
"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
|
||||||
|
},
|
||||||
|
"151665": {
|
||||||
|
"content": "<tool_response>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151666": {
|
||||||
|
"content": "</tool_response>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151667": {
|
||||||
|
"content": "<think>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
},
|
||||||
|
"151668": {
|
||||||
|
"content": "</think>",
|
||||||
|
"lstrip": false,
|
||||||
|
"normalized": false,
|
||||||
|
"rstrip": false,
|
||||||
|
"single_word": false,
|
||||||
|
"special": false
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"additional_special_tokens": [
|
||||||
|
"<|im_start|>",
|
||||||
|
"<|im_end|>",
|
||||||
|
"<|object_ref_start|>",
|
||||||
|
"<|object_ref_end|>",
|
||||||
|
"<|box_start|>",
|
||||||
|
"<|box_end|>",
|
||||||
|
"<|quad_start|>",
|
||||||
|
"<|quad_end|>",
|
||||||
|
"<|vision_start|>",
|
||||||
|
"<|vision_end|>",
|
||||||
|
"<|vision_pad|>",
|
||||||
|
"<|image_pad|>",
|
||||||
|
"<|video_pad|>"
|
||||||
|
],
|
||||||
|
"bos_token": null,
|
||||||
|
"clean_up_tokenization_spaces": false,
|
||||||
|
"eos_token": "<|endoftext|>",
|
||||||
|
"errors": "replace",
|
||||||
|
"extra_special_tokens": {},
|
||||||
|
"model_max_length": 131072,
|
||||||
|
"pad_token": "<|endoftext|>",
|
||||||
|
"sep_token": "<|endoftext|>",
|
||||||
|
"split_special_tokens": false,
|
||||||
|
"tokenizer_class": "Qwen2Tokenizer",
|
||||||
|
"unk_token": null
|
||||||
|
}
|
||||||
1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user