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Model: dicta-il/DictaLM-3.0-1.7B-Instruct 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 instruct model, with full precision (BF16), originally initialized from [Qwen3-1.7B-Base](https://huggingface.co/Qwen/Qwen3-1.7B-Base).
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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-Instruct")
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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': 'בהחלט! הנה מתכון פשוט למיונז בסיסי:\n\nמרכיבים:\n- 1 ביצה\n- 1 כף חומץ לבן (חומץ תפוחים או חומץ בן יין לבן עובד היטב)\n- 1/4 כוס שמנת כבדה או חלב מרוכז\n- 1/4 כפית מלח\n- 1/4 כפית פלפל שחור גרוס\n- 1 כף שום גבישי, קצוץ דק\n\nהוראות:\n1. בקערה קטנה, טורפים יחד את הביצה, חומץ, שמנת, מלח ופלפל.\n2. מניחים את הבלילה על מגש, מקפלים אותה ליצירת גלילים דקים.\n3. מכסים את המגש בניילון נצמד ומתפיחים במקרר למשך שעה לפחות.\n4. מקמחים קלות את הגלילים, ואז מגלגלים אותם בין שני קצוות של נייר אפייה עד שהצד החלק כלפי מטה.\n5. מחממים את התנור ל-175°C (350'}
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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-Instruct --enable-auto-tool-choice --tool-call-parser hermes
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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-Instruct",
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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 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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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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{{- "\n<|im_start|>" + message.role + "\n" + content -}}
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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" -}}
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{%- endif -%}
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58
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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"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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|
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|
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|
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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,
|
||||
"rope_theta": 1000000.0,
|
||||
"sliding_window": null,
|
||||
"tie_word_embeddings": true,
|
||||
"torch_dtype": "bfloat16",
|
||||
"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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14
generation_config.json
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generation_config.json
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{
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|
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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,
|
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"transformers_version": "4.55.4",
|
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"trust_remote_code": true
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}
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151388
merges.txt
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merges.txt
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3
model.safetensors
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model.safetensors
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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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{
|
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"additional_special_tokens": [
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"<|im_start|>",
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"<|im_end|>",
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"<|object_ref_start|>",
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"<|object_ref_end|>",
|
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"<|box_start|>",
|
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"<|box_end|>",
|
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"<|quad_start|>",
|
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"<|quad_end|>",
|
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"<|vision_start|>",
|
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"<|vision_end|>",
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"<|vision_pad|>",
|
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"<|image_pad|>",
|
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"<|video_pad|>"
|
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|
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"eos_token": {
|
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"content": "<|endoftext|>",
|
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"lstrip": false,
|
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"normalized": false,
|
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"rstrip": false,
|
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"single_word": false
|
||||
},
|
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"pad_token": {
|
||||
"content": "<|endoftext|>",
|
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"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
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"single_word": false
|
||||
},
|
||||
"sep_token": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
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"single_word": false
|
||||
}
|
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}
|
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3
tokenizer.json
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:3c3dfe474a8bbe89b0e83627fd9ff784ad71027f12fd8c618708c818e808789d
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size 11422648
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240
tokenizer_config.json
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{
|
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"add_bos_token": false,
|
||||
"add_prefix_space": false,
|
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"added_tokens_decoder": {
|
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"151643": {
|
||||
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|
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"lstrip": false,
|
||||
"normalized": false,
|
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"rstrip": false,
|
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"single_word": false,
|
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"special": true
|
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},
|
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"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