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Model: dicta-il/DictaLM-3.0-1.7B-Thinking Source: Original Platform
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README.md
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README.md
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---
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license: apache-2.0
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pipeline_tag: text-generation
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language:
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- en
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- he
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tags:
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- pretrained
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inference:
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parameters:
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temperature: 0.6
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---
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[<img src="https://i.ibb.co/5Lbwyr1/dicta-logo.jpg" width="300px"/>](https://dicta.org.il)
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# Dicta-LM 3.0: Advancing The Frontier of Hebrew Sovereign LLMs
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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.
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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).
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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.
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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).
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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).
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## Instruction format
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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.
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## Usage
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We recommend using vLLM, but you can use Transformers as well:
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### Transformers
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```python
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from transformers import pipeline
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generator = pipeline('text-generation', model="dicta-il/DictaLM-3.0-1.7B-Thinking")
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messages = [
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{"role": "user", "content": "איזה רוטב אהוב עליך?"},
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{"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!"},
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{"role": "user", "content": "האם יש לך מתכונים למיונז?"}
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]
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print(generator(messages)[0]['generated_text'][-1]) # just print the last message
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# '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'}
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```
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### vLLM
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```bash
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vllm serve dicta-il/DictaLM-3.0-1.7B-Thinking --enable-auto-tool-choice --tool-call-parser hermes --reasoning_parser deepseek_r1
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```
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And then you can access it via the openai library:
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```python
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from openai import OpenAI
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client = OpenAI(
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base_url="http://localhost:8000/v1",
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api_key="sk-no-key-required"
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)
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response = client.chat.completions.create(
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model="dicta-il/DictaLM-3.0-1.7B-Thinking",
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messages=[
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{"role": "user", "content": "Hello, how are you?"}
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],
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)
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print(response.choices[0].message.content)
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```
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> The reasoning traces should be available in the response structure in the designated fild.
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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).
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## Citation
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If you use this model, please cite:
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```bibtex
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@article{Shmidman2025DictaLM3,
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title={{Dicta-LM 3.0: Advancing The Frontier of Hebrew Sovereign LLMs}},
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author={Shaltiel Shmidman and Avi Shmidman and Amir DN Cohen and Moshe Koppel},
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year={2025},
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publisher={{DICTA / Jerusalem, Israel}},
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note={https://www.dicta.org.il/publications/DictaLM_3_0___Techincal_Report.pdf}
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}
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```
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added_tokens.json
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{
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"<|vision_start|>": 151652
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}
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chat_template.jinja
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chat_template.jinja
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{# ───── header (system message) ───── #}
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{{- "<|im_start|>system\n" -}}
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{# ───── get the custom instructions + optional thinking override ───── #}
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{%- if messages[0].role == "system" -%}
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{%- set custom_instructions = messages[0].content.rstrip() -%}
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{%- endif -%}
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{# ───── set the system prompt ───── #}
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{%- if custom_instructions -%}
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{{- custom_instructions -}}
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{%- else -%}
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{{- "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." -}}
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{%- endif -%}
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{%- set ns = namespace(multi_step_tool=true, last_query_index=messages | length - 1) -%}
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{%- for message in messages[::-1] -%}
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{%- set index = messages | length - 1 - loop.index0 -%}
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{%- 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>")) -%}
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{%- set ns.multi_step_tool = false -%}
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{%- set ns.last_query_index = index -%}
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{%- endif -%}
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{%- endfor -%}
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{%- if tools -%}
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{{- "\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>" -}}
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{%- for tool in tools -%}
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{{- "\n" -}}
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{{- tool | tojson -}}
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{%- endfor -%}
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{{- "\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>" -}}
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{%- endif -%}
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{{- "<|im_end|>" -}}
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{%- for message in messages -%}
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{%- if message.content is string -%}
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{%- set content = message.content -%}
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{%- else -%}
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{%- set content = "" -%}
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{%- endif -%}
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{%- if message.role == "user" or message.role == "system" and not loop.first -%}
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{{- "\n<|im_start|>" + message.role + "\n" + content + "<|im_end|>" -}}
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{%- elif message.role == "assistant" -%}
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{% generation %}
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{%- set reasoning_content = "" -%}
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{%- if message.reasoning_content is string -%}
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{%- set reasoning_content = message.reasoning_content -%}
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{%- elif "</think>" in content -%}
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{%- set reasoning_content = content.split("</think>")[0].rstrip("\n").split("<think>")[-1].lstrip("\n") -%}
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{%- set content = content.split("</think>")[-1].lstrip("\n") -%}
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{%- endif -%}
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{%- if loop.index0 > ns.last_query_index -%}
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{%- if loop.last or not loop.last and reasoning_content -%}
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{{- "\n<|im_start|>" + message.role + "\n<think>" + reasoning_content.strip("\n") + "</think>" + content.lstrip("\n") -}}
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{%- else -%}
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{{- "\n<|im_start|>" + message.role + "\n" + content -}}
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{%- endif -%}
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{%- else -%}
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{{- "\n<|im_start|>" + message.role + "\n" + content -}}
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{%- endif -%}
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{%- if message.tool_calls -%}
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{%- for tool_call in message.tool_calls -%}
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{%- if loop.first and content or not loop.first -%}
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{{- "\n" -}}
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{%- endif -%}
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{%- if tool_call.function -%}
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{%- set tool_call = tool_call.function -%}
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{%- endif -%}
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{{- "<tool_call>\n{\"name\": \"" -}}
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{{- tool_call.name -}}
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{{- "\", \"arguments\": " -}}
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{%- if tool_call.arguments is string -%}
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{{- tool_call.arguments -}}
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{%- else -%}
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{{- tool_call.arguments | tojson -}}
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{%- endif -%}
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{{- "}\n</tool_call>" -}}
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{%- endfor -%}
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{%- endif -%}
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{{- "<|im_end|>" -}}
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{% endgeneration %}
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{%- elif message.role == "tool" -%}
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{%- if loop.first or messages[loop.index0 - 1].role != "tool" -%}
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{{- "\n<|im_start|>user" -}}
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{%- endif -%}
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{{- "\n<tool_response>\n" -}}
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{{- content -}}
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{{- "\n</tool_response>" -}}
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{%- if loop.last or messages[loop.index0 + 1].role != "tool" -%}
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{{- "<|im_end|>" -}}
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{%- endif -%}
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{%- endif -%}
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{%- endfor -%}
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{{- "\n" -}}
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{%- if add_generation_prompt -%}
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{{- "<|im_start|>assistant\n<think>" -}}
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{%- endif -%}
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config.json
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config.json
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{
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"architectures": [
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"Qwen3ForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 2048,
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"initializer_range": 0.02,
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"intermediate_size": 6144,
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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",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
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"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
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"full_attention",
|
||||
"full_attention",
|
||||
"full_attention"
|
||||
],
|
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"max_position_embeddings": 62080,
|
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"max_window_layers": 28,
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"model_type": "qwen3",
|
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"num_attention_heads": 16,
|
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"num_hidden_layers": 28,
|
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"num_key_value_heads": 8,
|
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"rms_norm_eps": 1e-06,
|
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"rope_scaling": null,
|
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"rope_theta": 1000000.0,
|
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"sliding_window": null,
|
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"tie_word_embeddings": true,
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"torch_dtype": "bfloat16",
|
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"transformers_version": "4.55.4",
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"use_cache": true,
|
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"use_sliding_window": false,
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"vocab_size": 151936
|
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}
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generation_config.json
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generation_config.json
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{
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"bos_token_id": 151643,
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"do_sample": true,
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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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"pad_token_id": 151643,
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"temperature": 0.6,
|
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"top_k": 20,
|
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"top_p": 0.95,
|
||||
"transformers_version": "4.55.4",
|
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"trust_remote_code": true
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}
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merges.txt
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merges.txt
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3
model.safetensors
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3
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:cec0cdb331e6c4148b17593527f0a5be3b2562a54aa3afc145aabd580c943fea
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size 3441185576
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38
special_tokens_map.json
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special_tokens_map.json
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{
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
"<|quad_start|>",
|
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"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
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"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
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"<|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