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Browse files- README.md +55 -0
- config.json +42 -0
- mergekit_config.yml +10 -0
- model-00001-of-00012.safetensors +3 -0
- model-00002-of-00012.safetensors +3 -0
- model-00003-of-00012.safetensors +3 -0
- model-00004-of-00012.safetensors +3 -0
- model-00005-of-00012.safetensors +3 -0
- model-00006-of-00012.safetensors +3 -0
- model-00007-of-00012.safetensors +3 -0
- model-00008-of-00012.safetensors +3 -0
- model-00009-of-00012.safetensors +3 -0
- model-00010-of-00012.safetensors +3 -0
- model-00011-of-00012.safetensors +3 -0
- model-00012-of-00012.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +36 -0
- tokenizer.json +0 -0
- tokenizer_config.json +135 -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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- tiiuae/falcon-11B
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base_model:
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- tiiuae/falcon-11B
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- tiiuae/falcon-11B
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---
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# Falcon2-5.5B-French
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Falcon2-5.5B-French is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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* [tiiuae/falcon-11B](https://huggingface.co/tiiuae/falcon-11B)
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* [tiiuae/falcon-11B](https://huggingface.co/tiiuae/falcon-11B)
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## 🧩 Configuration
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```yaml
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slices:
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- sources:
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- model: tiiuae/falcon-11B
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layer_range: [0, 24]
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- sources:
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- model: tiiuae/falcon-11B
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layer_range: [55, 59]
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merge_method: passthrough
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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 = "ssmits/Falcon2-5.5B-French"
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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": "tiiuae/falcon-11B",
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"activation": "gelu",
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"alibi": false,
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"architectures": [
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"FalconForCausalLM"
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],
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"attention_dropout": 0.0,
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"auto_map": {
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"AutoConfig": "tiiuae/falcon-11B--configuration_falcon.FalconConfig",
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"AutoModel": "tiiuae/falcon-11B--modeling_falcon.FalconModel",
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"AutoModelForCausalLM": "tiiuae/falcon-11B--modeling_falcon.FalconForCausalLM",
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"AutoModelForQuestionAnswering": "tiiuae/falcon-11B--modeling_falcon.FalconForQuestionAnswering",
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"AutoModelForSequenceClassification": "tiiuae/falcon-11B--modeling_falcon.FalconForSequenceClassification",
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"AutoModelForTokenClassification": "tiiuae/falcon-11B--modeling_falcon.FalconForTokenClassification"
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},
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"bias": false,
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"bos_token_id": 11,
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"eos_token_id": 11,
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"ff_factor": 4,
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"ffn_hidden_size": 16384,
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"hidden_dropout": 0.0,
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"layer_norm_epsilon": 1e-05,
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"max_position_embeddings": 8192,
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"model_type": "falcon",
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"multi_query": true,
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"new_decoder_architecture": true,
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"num_attention_heads": 32,
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"num_hidden_layers": 28,
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"num_kv_heads": 8,
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"num_ln_in_parallel_attn": 1,
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"parallel_attn": true,
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"rope_scaling": null,
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"rope_theta": 500042.0,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.40.2",
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"use_cache": true,
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"vocab_size": 65024
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}
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mergekit_config.yml
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slices:
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- sources:
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- model: tiiuae/falcon-11B
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layer_range: [0, 24]
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- sources:
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- model: tiiuae/falcon-11B
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layer_range: [55, 59]
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merge_method: passthrough
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dtype: bfloat16
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model-00001-of-00012.safetensors
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tokenizer.json
ADDED
The diff for this file is too large to render.
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tokenizer_config.json
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122 |
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"bos_token": ">>",
|
123 |
+
"chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ 'User: \n' + message['content'] }}\n{% elif message['role'] == 'system' %}\n{{ 'System: ' + message['content'] }}\n{% elif message['role'] == 'assistant' %}\n{{ 'Falcon:\n' + message['content']}}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ 'Falcon:' }}\n{% endif %}\n{% endfor %}",
|
124 |
+
"clean_up_tokenization_spaces": true,
|
125 |
+
"device_map": "cuda:2",
|
126 |
+
"eos_token": "<|endoftext|>",
|
127 |
+
"model_input_names": [
|
128 |
+
"input_ids",
|
129 |
+
"attention_mask"
|
130 |
+
],
|
131 |
+
"model_max_length": 1000000000000000019884624838656,
|
132 |
+
"pad_token": "<|endoftext|>",
|
133 |
+
"padding_side": "left",
|
134 |
+
"tokenizer_class": "PreTrainedTokenizerFast"
|
135 |
+
}
|