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Browse files- README.md +64 -0
- added_tokens.json +19 -0
- config.json +26 -0
- mergekit_config.yml +16 -0
- model-00001-of-00002.safetensors +3 -0
- model-00002-of-00002.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +43 -0
README.md
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---
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tags:
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- merge
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- mergekit
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- lazymergekit
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- BioMistral/BioMistral-7B
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- Nexusflow/Starling-LM-7B-beta
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base_model:
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- BioMistral/BioMistral-7B
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- Nexusflow/Starling-LM-7B-beta
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---
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# BioLing-7B-Dare
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BioLing-7B-Dare is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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* [BioMistral/BioMistral-7B](https://huggingface.co/BioMistral/BioMistral-7B)
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* [Nexusflow/Starling-LM-7B-beta](https://huggingface.co/Nexusflow/Starling-LM-7B-beta)
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Special thanks to Charles Goddard for the quick implementation!
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## 🧩 Configuration
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```yaml
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models:
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- model: BioMistral/BioMistral-7B
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parameters:
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density: 0.53
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weight: 0.4
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- model: Nexusflow/Starling-LM-7B-beta
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parameters:
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density: 0.53
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weight: 0.3
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merge_method: dare_ties
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base_model: BioMistral/BioMistral-7B
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parameters:
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int8_mask: true
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dtype: bfloat16
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```
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## 💻 Usage
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```python
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!pip install -qU transformers accelerate
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from transformers import AutoTokenizer
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import transformers
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import torch
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model = "johnsnowlabs/BioLing-7B-Dare"
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messages = [{"role": "user", "content": "What is a large language model?"}]
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tokenizer = AutoTokenizer.from_pretrained(model)
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prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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pipeline = transformers.pipeline(
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"text-generation",
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model=model,
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torch_dtype=torch.float16,
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device_map="auto",
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)
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outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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print(outputs[0]["generated_text"])
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```
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## 🏆 Evaluation
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Coming Soon!
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added_tokens.json
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{
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"<CLS>": 32000,
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"<EOD>": 32002,
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"<MASK>": 32003,
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"<PAD>": 32004,
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"<SEP>": 32001,
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"[/bib]": 32010,
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"[/bib_ref]": 32006,
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"[/fig]": 32012,
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"[/fig_ref]": 32008,
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"[/formula]": 32016,
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"[/table]": 32014,
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"[bib]": 32009,
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"[bib_ref]": 32005,
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"[fig]": 32011,
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"[fig_ref]": 32007,
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"[formula]": 32015,
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"[table]": 32013
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}
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config.json
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{
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"_name_or_path": "BioMistral/BioMistral-7B",
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"architectures": [
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"MistralForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 32768,
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"model_type": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-05,
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"rope_theta": 10000.0,
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"sliding_window": 4096,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.39.3",
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"use_cache": false,
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"vocab_size": 32000
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}
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mergekit_config.yml
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models:
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- model: BioMistral/BioMistral-7B
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parameters:
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density: 0.53
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weight: 0.4
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- model: Nexusflow/Starling-LM-7B-beta
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parameters:
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density: 0.53
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weight: 0.3
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merge_method: dare_ties
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base_model: BioMistral/BioMistral-7B
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parameters:
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int8_mask: true
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dtype: bfloat16
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model-00001-of-00002.safetensors
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model.safetensors.index.json
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special_tokens_map.json
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tokenizer.json
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tokenizer.model
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version https://git-lfs.github.com/spec/v1
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size 493443
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tokenizer_config.json
ADDED
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"chat_template": "{{ bos_token }}{% 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'] == 'user' %}{{ '[INST] ' + message['content'] + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ message['content'] + eos_token + ' ' }}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}",
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