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Model: yam-peleg/Hebrew-Gemma-11B-Instruct
Source: Original Platform

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README.md

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+---
+license: other
+license_name: gemma-terms-of-use
+license_link: https://ai.google.dev/gemma/terms
+language:
+- en
+- he
+library_name: transformers
+---
+# Hebrew-Gemma-11B-Instruct
+
+### Base Models:
+- **07.03.2024:** [Hebrew-Gemma-11B](https://huggingface.co/yam-peleg/Hebrew-Gemma-11B)
+- **16.03.2024:** [Hebrew-Gemma-11B-V2](https://huggingface.co/yam-peleg/Hebrew-Gemma-11B-V2)
+
+### Instruct Models:
+- **07.03.2024:** [Hebrew-Gemma-11B-Instruct](https://huggingface.co/yam-peleg/Hebrew-Gemma-11B-Instruct)
+
+The Hebrew-Gemma-11B-Instruct Large Language Model (LLM) is a instruct fine-tuned version of the [Hebrew-Gemma-11B](https://huggingface.co/yam-peleg/Hebrew-Gemma-11B) generative text model using a variety of conversation datasets.
+
+It is continued pretrain of gemma-7b, extended to a larger scale and trained on 3B additional tokens of both English and Hebrew text data.
+
+
+# Instruction format
+
+This format must be strictly respected, otherwise the model will generate sub-optimal outputs.
+
+```
+<bos><start_of_turn>user
+Write a hello world program<end_of_turn>
+<start_of_turn>model
+Here is a simple hellow world program<end_of_turn><eos>
+```
+
+- The conversation starts with **`<bos>`**.
+- Each turn is preceded by a **`<start_of_turn>`** delimiter and then the role of the entity (`user` or `model`).
+- Turns finish with the **`<end_of_turn>`** token.
+- Conversation finish with the **`<eos>`** token.
+ 
+You can follow this format to build the prompt manually, if you need to do it without the tokenizer's chat template.
+
+A simple example using the tokenizer's chat template:
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+model_id = "Hebrew-Gemma-11B-Instruct"
+
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(model_id, device_map="cuda")
+
+chat = [
+    { "role": "user", "content": "כתוב קוד פשוט בפייתון שמדפיס למסך את התאריך של היום" },
+]
+prompt = tokenizer.apply_chat_template(chat, tokenize=False, add_generation_prompt=True)
+```
+
+### Terms of Use
+
+As an extention of Gemma-7B, this model is subject to the original license and terms of use by Google.
+
+### Benchmark Results
+
+- Coming Soon!
+
+
+### Notice
+
+Hebrew-Gemma-11B is a pretrained base model and therefore does not have any moderation mechanisms.
+
+
+### Authors
+
+- Trained by Yam Peleg.
+- In collaboration with Jonathan Rouach and Arjeo, inc.

config.json

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+{
+  "architectures": [
+    "GemmaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 2,
+  "eos_token_id": 1,
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+  "hidden_act": "gelu",
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+  "initializer_range": 0.02,
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+  "model_type": "gemma",
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+  "torch_dtype": "float16",
+  "transformers_version": "4.38.1",
+  "use_cache": false,
+  "vocab_size": 256000
+}

generation_config.json

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+{
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+  "bos_token_id": 2,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.38.1"
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special_tokens_map.json

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