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LICENSE

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+Gemma Terms of Use
+
+Last modified: April 1, 2024
+
+By using, reproducing, modifying, distributing, performing or displaying any portion or element of Gemma, Model Derivatives including via any Hosted Service, (each as defined below) (collectively, the "Gemma Services") or otherwise accepting the terms of this Agreement, you agree to be bound by this Agreement.
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README.md

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+---
+library_name: transformers
+tags:
+- gemma2
+- instruct
+- bggpt
+- insait
+license: gemma
+language:
+- bg
+- en
+base_model:
+- google/gemma-2-2b-it
+- google/gemma-2-2b
+pipeline_tag: text-generation
+---
+
+# INSAIT-Institute/BgGPT-Gemma-2-2.6B-IT-v1.0
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/637e1f8cf7e01589cc17bf7e/p6d0YFHjWCQ3S12jWqO1m.png)
+
+INSAIT introduces **BgGPT-Gemma-2-2.6B-IT-v1.0**, a state-of-the-art Bulgarian language model based on **google/gemma-2-2b** and **google/gemma-2-2b-it**.
+BgGPT-Gemma-2-2.6B-IT-v1.0 is **free to use** and distributed under the [Gemma Terms of Use](https://ai.google.dev/gemma/terms).
+This model was created by [`INSAIT`](https://insait.ai/), part of Sofia University St. Kliment Ohridski, in Sofia, Bulgaria.
+
+
+# Model description
+
+The model was built on top of Google’s Gemma 2 2B open models.
+It was continuously pre-trained on around 100 billion tokens (85 billion in Bulgarian) using the Branch-and-Merge strategy INSAIT presented at [EMNLP’24](https://aclanthology.org/2024.findings-emnlp.1000/), 
+allowing the model to gain outstanding Bulgarian cultural and linguistic capabilities while retaining its English performance. 
+During the pre-training stage, we use various datasets, including Bulgarian web crawl data, freely available datasets such as Wikipedia, a range of specialized Bulgarian datasets sourced by the INSAIT Institute,
+and machine translations of popular English datasets.
+The model was then instruction-fine-tuned on a newly constructed Bulgarian instruction dataset created using real-world conversations.
+For more information check our [blogpost](https://models.bggpt.ai/blog/).
+
+# Benchmarks and Results
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/65fefdc282708115868203aa/9pp8aD1yvoW-cJWzhbHXk.png)
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/65fefdc282708115868203aa/33CjjtmCeAcw5qq8DEtJj.png)
+
+We evaluate our models on a set of standard English benchmarks, a translated version of them in Bulgarian, as well as, Bulgarian specific benchmarks we collected:
+
+- **Winogrande challenge**: testing world knowledge and understanding
+- **Hellaswag**: testing sentence completion
+- **ARC Easy/Challenge**: testing logical reasoning
+- **TriviaQA**: testing trivia knowledge
+- **GSM-8k**: solving multiple-choice questions in high-school mathematics
+- **Exams**: solving high school problems from natural and social sciences
+- **MON**: contains exams across various subjects for grades 4 to 12
+
+These benchmarks test logical reasoning, mathematics, knowledge, language understanding and other skills of the models and are provided at https://github.com/insait-institute/lm-evaluation-harness-bg.
+The graphs above show the performance of BgGPT 2.6B compared to other small open language models such as Microsoft's Phi 3.5 and Alibaba's Qwen 2.5 3B.
+The BgGPT model not only surpasses them, but also **retains English performance** inherited from the original Google Gemma 2 models upon which it is based.
+
+# Instruction format
+
+In order to leverage instruction fine-tuning, your prompt should begin with a beginning-of-sequence token `<bos>` and be formatted in the Gemma 2 chat template. `<bos>` should only be the first token in a chat sequence.
+
+E.g.
+```
+<bos><start_of_turn>user\n
+Кога е основан Софийският университет?<end_of_turn>\n
+<start_of_turn>model\n
+```
+
+This format is also available as a [chat template](https://huggingface.co/docs/transformers/main/chat_templating) via the `apply_chat_template()` method:
+
+```python
+tokenizer = AutoTokenizer.from_pretrained(
+    "INSAIT-Institute/BgGPT-Gemma-2-2.6B-IT-v1.0",
+    use_default_system_prompt=False,
+)
+
+messages = [
+    {"role": "user", "content": "Кога е основан Софийският университет?"},
+]
+input_ids = tokenizer.apply_chat_template(messages, return_tensors="pt", return_dict=True).to("cuda")
+
+outputs = model.generate(**input_ids, max_new_tokens=256)
+print(tokenizer.decode(outputs[0]))
+
+```
+
+# Recommended Parameters
+
+For optimal performance, we recommend the following parameters for text generation, as we have extensively tested our model with them:
+
+```python
+generation_params = {
+    "temperature": 0.1
+    "top_k": 20,
+    "repetition_penalty": 1.1
+}
+```
+
+# Use in 🤗Transformers
+
+First install the latest version of the transformers library:
+```
+pip install -U 'transformers[torch]'
+```
+Then load the model in transformers:
+```python
+model = AutoModelForCausalLM.from_pretrained(
+    "INSAIT-Institute/BgGPT-Gemma-2-2.6B-IT-v1.0",
+    torch_dtype=torch.bfloat16,
+    attn_implementation="eager",
+    device_map="auto",
+)
+```
+**Important Note:** Models based on Gemma 2 such as BgGPT-Gemma-2-2.6B-IT-v1.0 do not support flash attention. Using it results in degraded performance.
+
+# Use with GGML / llama.cpp
+
+The model and instructions for usage in GGUF format are available at [INSAIT-Institute/BgGPT-Gemma-2-2.6B-IT-v1.0-GGUF](https://huggingface.co/INSAIT-Institute/BgGPT-Gemma-2-2.6B-IT-v1.0-GGUF).
+
+# Community Feedback
+
+We welcome feedback from the community to help improve BgGPT. If you have suggestions, encounter any issues, or have ideas for improvements, please:
+- Share your experience using the model through Hugging Face's community discussion feature or
+- Contact us at [bggpt@insait.ai](mailto:bggpt@insait.ai)
+
+Your real-world usage and insights are valuable in helping us optimize the model's performance and behaviour for various use cases.
+
+# Summary
+- **Finetuned from:** [google/gemma-2-2b-it](https://huggingface.co/google/gemma-2-2b-it); [google/gemma-2-2b](https://huggingface.co/google/gemma-2-2b);
+- **Model type:** Causal decoder-only transformer language model
+- **Language:** Bulgarian and English
+- **Contact:** [bggpt@insait.ai](mailto:bggpt@insait.ai)
+- **License:** BgGPT is distributed under [Gemma Terms of Use](https://huggingface.co/INSAIT-Institute/BgGPT-Gemma-2-2.6B-IT-v1.0/raw/main/LICENSE)

config.json

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+{
+  "architectures": [
+    "Gemma2ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "attn_logit_softcapping": 50.0,
+  "bos_token_id": 2,
+  "cache_implementation": "hybrid",
+  "eos_token_id": 1,
+  "final_logit_softcapping": 30.0,
+  "head_dim": 256,
+  "hidden_act": "gelu_pytorch_tanh",
+  "hidden_activation": "gelu_pytorch_tanh",
+  "hidden_size": 2304,
+  "initializer_range": 0.02,
+  "intermediate_size": 9216,
+  "max_position_embeddings": 8192,
+  "model_type": "gemma2",
+  "num_attention_heads": 8,
+  "num_hidden_layers": 26,
+  "num_key_value_heads": 4,
+  "pad_token_id": 0,
+  "query_pre_attn_scalar": 256,
+  "rms_norm_eps": 1e-06,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.42.3",
+  "use_cache": true,
+  "vocab_size": 256000
+}

generation_config.json

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+  "_from_model_config": true,
+  "bos_token_id": 2,
+  "cache_implementation": "hybrid",
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.42.3"
+}

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special_tokens_map.json

@@ -0,0 +1,34 @@
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+      "content": "<h6>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "191": {
+      "content": "<blockquote>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "192": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "193": {
+      "content": "</h2>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "194": {
+      "content": "</h3>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "195": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "196": {
+      "content": "</h5>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "197": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "198": {
+      "content": "</blockquote>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
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+    },
+    "199": {
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+      "rstrip": false,
+      "single_word": false,
+      "special": false
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+    "200": {
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+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
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+    },
+    "201": {
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+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
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+    },
+    "202": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
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+    "203": {
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+      "single_word": false,
+      "special": false
+    },
+    "204": {
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+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "205": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
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+    "206": {
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+      "lstrip": false,
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+    "207": {
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+      "lstrip": false,
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+      "single_word": false,
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+    },
+    "208": {
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+      "single_word": false,
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+    },
+    "209": {
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+    },
+    "212": {
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+      "single_word": false,
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+    },
+    "213": {
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+      "single_word": false,
+      "special": false
+    },
+    "214": {
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+      "single_word": false,
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+    },
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+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "216": {
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+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "255968": {
+      "content": "[toxicity=0]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "255969": {
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+      "rstrip": false,
+      "single_word": false,
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+    },
+    "255970": {
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+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "255971": {
+      "content": "\t\t\t\t",
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+      "rstrip": false,
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+    },
+    "255972": {
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+    },
+    "255973": {
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+    },
+    "255977": {
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+      "lstrip": false,
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+    "255978": {
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+    },
+    "255983": {
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+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "255984": {
+      "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "255985": {
+      "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
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+    },
+    "255986": {
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+    "255988": {
+      "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
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+    },
+    "255989": {
+      "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
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+      "normalized": false,
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+    },
+    "255990": {
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+    },
+    "255991": {
+      "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "255992": {
+      "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "255993": {
+      "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "255994": {
+      "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "255995": {
+      "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "255996": {
+      "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "255997": {
+      "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "255998": {
+      "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "255999": {
+      "content": "<unused99>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "additional_special_tokens": [
+    "<start_of_turn>",
+    "<end_of_turn>"
+  ],
+  "bos_token": "<bos>",
+  "chat_template": "{{ bos_token }}{% if messages[0]['role'] == 'system' %}{{ raise_exception('System role not supported') }}{% endif %}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if (message['role'] == 'assistant') %}{% set role = 'model' %}{% else %}{% set role = message['role'] %}{% endif %}{{ '<start_of_turn>' + role + '\n' + message['content'] | trim + '<end_of_turn>\n' }}{% endfor %}{% if add_generation_prompt %}{{'<start_of_turn>model\n'}}{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<eos>",
+  "max_length": 8192,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "stride": 0,
+  "tokenizer_class": "GemmaTokenizer",
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}