commit 96f10e4a7d900dbe447ac0485b28a0522f1fe698 Author: ModelHub XC Date: Wed Sep 2 23:38:17 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: dicta-il/DictaLM-3.0-1.7B-Thinking-GGUF Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..9698eac --- /dev/null +++ b/.gitattributes @@ -0,0 +1,40 @@ +*.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 +DictaLM-3.0-1.7B-Thinking-BF16.gguf filter=lfs diff=lfs merge=lfs -text +DictaLM-3.0-1.7B-Thinking-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text +DictaLM-3.0-1.7B-Thinking-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text +DictaLM-3.0-1.7B-Thinking-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text +imatrix_dict.gguf_file filter=lfs diff=lfs merge=lfs -text diff --git a/DictaLM-3.0-1.7B-Thinking-BF16.gguf b/DictaLM-3.0-1.7B-Thinking-BF16.gguf new file mode 100644 index 0000000..3a7ac95 --- /dev/null +++ b/DictaLM-3.0-1.7B-Thinking-BF16.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6f9f80270f1d852f54e776034c3e360b09fd937a2533887196ddbd07b523958d +size 3447349248 diff --git a/DictaLM-3.0-1.7B-Thinking-Q4_K_M.gguf b/DictaLM-3.0-1.7B-Thinking-Q4_K_M.gguf new file mode 100644 index 0000000..3caadc6 --- /dev/null +++ b/DictaLM-3.0-1.7B-Thinking-Q4_K_M.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a92a6b58ea48a3ea1b6099bda070bb0dab440b17e2afc527874827be96d28c94 +size 1107409152 diff --git a/DictaLM-3.0-1.7B-Thinking-Q5_K_M.gguf b/DictaLM-3.0-1.7B-Thinking-Q5_K_M.gguf new file mode 100644 index 0000000..08aaad7 --- /dev/null +++ b/DictaLM-3.0-1.7B-Thinking-Q5_K_M.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f810e4c4e59c8707fb280c0ad66b4b2d1a49f8b3875cab53e867a876be2ecc03 +size 1257879808 diff --git a/DictaLM-3.0-1.7B-Thinking-Q8_0.gguf b/DictaLM-3.0-1.7B-Thinking-Q8_0.gguf new file mode 100644 index 0000000..6fb9ac9 --- /dev/null +++ b/DictaLM-3.0-1.7B-Thinking-Q8_0.gguf @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5218355a0b968f25dd837a455a71f7dc6fe67cc75ab4baa4f340b48bba3775c8 +size 1834426624 diff --git a/README.md b/README.md new file mode 100644 index 0000000..9424fab --- /dev/null +++ b/README.md @@ -0,0 +1,96 @@ +--- +license: apache-2.0 +pipeline_tag: text-generation +language: + - en + - he +tags: +- pretrained +inference: + parameters: + temperature: 0.6 +--- + +[](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.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} +} +``` \ No newline at end of file diff --git a/imatrix_dict.gguf_file b/imatrix_dict.gguf_file new file mode 100644 index 0000000..1f5cebd --- /dev/null +++ b/imatrix_dict.gguf_file @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d78ba5216b8e72946908e006f11e7403772171ff40b128ff0ad80bcc8f2ecb6a +size 2094592