OmnicromsBrain
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Browse files- README.md +71 -0
- config.json +26 -0
- mergekit_config.yml +20 -0
- model-00001-of-00005.safetensors +3 -0
- model-00002-of-00005.safetensors +3 -0
- model-00003-of-00005.safetensors +3 -0
- model-00004-of-00005.safetensors +3 -0
- model-00005-of-00005.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +44 -0
README.md
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---
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base_model:
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- OmnicromsBrain/Eros_Scribe-7b
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- OmnicromsBrain/Eros_Scribe-7b
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- OmnicromsBrain/Eros_Scribe-7b
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- OmnicromsBrain/Eros_Scribe-7b
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- OmnicromsBrain/Eros_Scribe-7b
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tags:
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- merge
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- mergekit
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- lazymergekit
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- OmnicromsBrain/Eros_Scribe-7b
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---
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# Eros_Scribe-10.7b-v3
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Eros_Scribe-10.7b-v3 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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* [OmnicromsBrain/Eros_Scribe-7b](https://huggingface.co/OmnicromsBrain/Eros_Scribe-7b)
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* [OmnicromsBrain/Eros_Scribe-7b](https://huggingface.co/OmnicromsBrain/Eros_Scribe-7b)
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* [OmnicromsBrain/Eros_Scribe-7b](https://huggingface.co/OmnicromsBrain/Eros_Scribe-7b)
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* [OmnicromsBrain/Eros_Scribe-7b](https://huggingface.co/OmnicromsBrain/Eros_Scribe-7b)
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* [OmnicromsBrain/Eros_Scribe-7b](https://huggingface.co/OmnicromsBrain/Eros_Scribe-7b)
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## 🧩 Configuration
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```yaml
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dtype: float16
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merge_method: passthrough
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slices:
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- sources:
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- model: OmnicromsBrain/Eros_Scribe-7b
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layer_range: [0,9]
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- sources:
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- model: OmnicromsBrain/Eros_Scribe-7b
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layer_range: [5,14]
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- sources:
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- model: OmnicromsBrain/Eros_Scribe-7b
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layer_range: [10,19]
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- sources:
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- model: OmnicromsBrain/Eros_Scribe-7b
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layer_range: [15,24]
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- sources:
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- model: OmnicromsBrain/Eros_Scribe-7b
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layer_range: [20,32]
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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 = "OmnicromsBrain/Eros_Scribe-10.7b-v3"
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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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config.json
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{
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"_name_or_path": "OmnicromsBrain/Eros_Scribe-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": 48,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-05,
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"rope_theta": 1000000.0,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.42.4",
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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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dtype: float16
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merge_method: passthrough
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slices:
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- sources:
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- model: OmnicromsBrain/Eros_Scribe-7b
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layer_range: [0,9]
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- sources:
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- model: OmnicromsBrain/Eros_Scribe-7b
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layer_range: [5,14]
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- sources:
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- model: OmnicromsBrain/Eros_Scribe-7b
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layer_range: [10,19]
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- sources:
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- model: OmnicromsBrain/Eros_Scribe-7b
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layer_range: [15,24]
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- sources:
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- model: OmnicromsBrain/Eros_Scribe-7b
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layer_range: [20,32]
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model-00001-of-00005.safetensors
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special_tokens_map.json
ADDED
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{
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},
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"eos_token": {
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"unk_token": {
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"single_word": false
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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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oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
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size 493443
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tokenizer_config.json
ADDED
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"special": true
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},
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"1": {
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"special": true
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}
|
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},
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"bos_token": "<s>",
|
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"chat_template": "{%- for idx in range(0, messages|length) -%}\n{%- if messages[idx]['role'] == 'user' -%}\n{%- if idx > 1 -%}\n{{- bos_token + '[INST] ' + messages[idx]['content'] + ' [/INST]' -}}\n{%- else -%}\n{{- messages[idx]['content'] + ' [/INST]' -}}\n{%- endif -%}\n{% elif messages[idx]['role'] == 'system' %}\n{{- '[INST] <<SYS>>\\n' + messages[idx]['content'] + '\\n<</SYS>>\\n\\n' -}}\n{%- elif messages[idx]['role'] == 'assistant' -%}\n{{- ' ' + messages[idx]['content'] + ' ' + eos_token -}}\n{% endif %}\n{% endfor %}",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"legacy": true,
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"sp_model_kwargs": {},
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"spaces_between_special_tokens": false,
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"tokenizer_class": "LlamaTokenizer",
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"use_default_system_prompt": false
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