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README.md CHANGED
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  ---
 
 
 
 
 
 
 
 
 
 
 
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  license: apache-2.0
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ base_model: mistralai/Mistral-7B-v0.1
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+ tags:
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+ - mistral
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+ - instruct
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+ - bggpt
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+ - insait
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+ language:
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+ - bg
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+ - en
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+ library_name: transformers
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+ pipeline_tag: text-generation
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  license: apache-2.0
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  ---
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+ # INSAIT-Institute/BgGPT-7B-Instruct-v0.2
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+
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/637e1f8cf7e01589cc17bf7e/p6d0YFHjWCQ3S12jWqO1m.png)
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+
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+ Meet BgGPT-7B, a Bulgarian language model trained from mistralai/Mistral-7B-v0.1. BgGPT is distributed under Apache 2.0 license.
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+
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+ This model was created by [`INSAIT Institute`](https://insait.ai/), part of Sofia University, in Sofia, Bulgaria.
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+
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+ This is an improved version of the model - v0.2.
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+
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+ ## Model description
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+
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+ The model is continously pretrained to gain its Bulgarian language and culture capabilities using multiple datasets, including Bulgarian web crawl data, a range of specialized Bulgarian datasets sourced by INSAIT Institute, and machine translations of popular English datasets.
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+ This Bulgarian data was augmented with English datasets to retain English and logical reasoning skills.
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+
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+ The model's tokenizer has been extended to allow for a more efficient encoding of Bulgarian words written in Cyrillic.
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+ This not only increases throughput of Cyrillic text but also performance.
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+
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+ ## Instruction format
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+
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+ In order to leverage instruction fine-tuning, your prompt should be surrounded by `[INST]` and `[/INST]` tokens.
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+ The very first instruction should begin with a begin of sequence token `<s>`. Following instructions should not.
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+ The assistant generation will be ended by the end-of-sequence token.
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+
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+ E.g.
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+ ```
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+ text = "<s>[INST] Кога е основан Софийският университет? [/INST]"
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+ "Софийският университет „Св. Климент Охридски“ е създаден на 1 октомври 1888 г.</s> "
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+ "[INST] Кой го е основал? [/INST]"
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+ ```
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+
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+ This format is available as a [chat template](https://huggingface.co/docs/transformers/main/chat_templating) via the `apply_chat_template()` method:
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+
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+ ## Benchmarks
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+
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+ The model comes with a set of Benchmarks that are translations of the corresponding English-benchmarks. These are provided at [`https://github.com/insait-institute/lm-evaluation-harness-bg`](https://github.com/insait-institute/lm-evaluation-harness-bg)
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+
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+ As this is an improved version over version 0.1 of the same model, we include benchmark comparisons.
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+
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+ ## Summary
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+ - **Finetuned from:** [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1)
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+ - **Model type:** Causal decoder-only transformer language model
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+ - **Language:** Bulgarian and English
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+ - **License:** [Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0.html)
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+ - **Contact:** [[email protected]](mailto:[email protected])
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+
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+ ## Use in 🤗Transformers
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+ First install direct dependencies:
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+ ```
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+ pip install transformers torch accelerate
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+ ```
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+ If you want faster inference using flash-attention2, you need to install these dependencies:
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+ ```bash
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+ pip install packaging ninja
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+ pip install flash-attn
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+ ```
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+ Then load the model in transformers:
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+ ```python
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+ from transformers import AutoModelForCausalLM, AutoTokenizer
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+ import torch
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+ model = AutoModelForCausalLM.from_pretrained(
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+ model="INSAIT-Institute/BgGPT-7B-Instruct-v0.2",
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+ device_map="auto",
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+ torch_dtype=torch.bfloat16,
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+ use_flash_attn_2=True # optional
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+ )
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+ ```
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+
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+ ## Use with GGML / llama.cpp
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+
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+ The model in GGUF format [INSAIT-Institute/BgGPT-7B-Instruct-v0.2-GGUF](https://huggingface.co/INSAIT-Institute/BgGPT-7B-Instruct-v0.2-GGUF)
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+ "model_type": "mistral",
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+ "transformers_version": "4.36.2",
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+ "use_cache": true,
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+ "vocab_size": 38000
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+ }
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