Locutusque
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Browse files- README.md +62 -16
- config.json +3 -3
- mergekit_config.yml +17 -0
- model-00001-of-00001.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +7 -1
- tokenizer_config.json +4 -0
README.md
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---
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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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- M4-ai/tau-0.5B
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- Qwen/Qwen1.5-0.5B
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base_model:
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- M4-ai/tau-0.5B
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- Qwen/Qwen1.5-0.5B
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---
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# tau-0.5B
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tau-0.5B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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* [M4-ai/tau-0.5B](https://huggingface.co/M4-ai/tau-0.5B)
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* [Qwen/Qwen1.5-0.5B](https://huggingface.co/Qwen/Qwen1.5-0.5B)
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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: M4-ai/tau-0.5B
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layer_range: [0, 24]
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- model: Qwen/Qwen1.5-0.5B
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layer_range: [0, 24]
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merge_method: slerp
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base_model: M4-ai/tau-0.5B
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parameters:
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t:
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- filter: self_attn
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value: [0, 0.5, 0.3, 0.7, 1]
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- filter: mlp
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value: [1, 0.5, 0.7, 0.3, 0]
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- value: 0.5
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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 = "M4-ai/tau-0.5B"
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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": "/
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"architectures": [
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"Qwen2ForCausalLM"
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],
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"rope_theta": 1000000.0,
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"sliding_window": 32768,
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"tie_word_embeddings": true,
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"torch_dtype": "
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"transformers_version": "4.
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"use_cache": true,
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"use_sliding_window": false,
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"vocab_size": 151936
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{
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"_name_or_path": "M4-ai/tau-0.5B",
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"architectures": [
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"Qwen2ForCausalLM"
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],
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"rope_theta": 1000000.0,
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"sliding_window": 32768,
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"tie_word_embeddings": true,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.38.2",
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"use_cache": true,
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"use_sliding_window": false,
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"vocab_size": 151936
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mergekit_config.yml
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slices:
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- sources:
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- model: M4-ai/tau-0.5B
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layer_range: [0, 24]
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- model: Qwen/Qwen1.5-0.5B
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layer_range: [0, 24]
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merge_method: slerp
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base_model: M4-ai/tau-0.5B
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parameters:
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t:
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- filter: self_attn
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value: [0, 0.5, 0.3, 0.7, 1]
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- filter: mlp
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value: [1, 0.5, 0.7, 0.3, 0]
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- value: 0.5
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dtype: bfloat16
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model-00001-of-00001.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b4113abd57b4798f525d20e9c5b82b748b1f78e6fcedbebee15ffd6c1cb7b346
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size 1239173352
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model.safetensors.index.json
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special_tokens_map.json
CHANGED
@@ -10,5 +10,11 @@
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10 |
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|
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"single_word": false
|
12 |
},
|
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}
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|
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|
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|
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|
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|
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"rstrip": false,
|
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"single_word": false
|
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+
}
|
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}
|
tokenizer_config.json
CHANGED
@@ -35,9 +35,13 @@
|
|
35 |
"clean_up_tokenization_spaces": false,
|
36 |
"eos_token": "<|endoftext|>",
|
37 |
"errors": "replace",
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|
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|
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|
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|
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|
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|
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|
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|
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"errors": "replace",
|
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|
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|
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|
41 |
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|
46 |
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|
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