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Browse files- README.md +56 -0
- added_tokens.json +42 -0
- config.json +33 -0
- mergekit_config.yml +10 -0
- merges.txt +0 -0
- model-00001-of-00003.safetensors +3 -0
- model-00002-of-00003.safetensors +3 -0
- model-00003-of-00003.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer_config.json +340 -0
- vocab.json +0 -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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- rhysjones/phi-2-orange
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- cognitivecomputations/dolphin-2_6-phi-2
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base_model:
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- rhysjones/phi-2-orange
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- cognitivecomputations/dolphin-2_6-phi-2
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---
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# seldonium-3b
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seldonium-3b is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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* [rhysjones/phi-2-orange](https://huggingface.co/rhysjones/phi-2-orange)
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* [cognitivecomputations/dolphin-2_6-phi-2](https://huggingface.co/cognitivecomputations/dolphin-2_6-phi-2)
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## 🧩 Configuration
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```yaml
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models:
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- model: rhysjones/phi-2-orange
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parameters:
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weight: 1.0
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- model: cognitivecomputations/dolphin-2_6-phi-2
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parameters:
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weight: 0.8
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merge_method: linear
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dtype: float16
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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 = "jomangbp/seldonium-3b"
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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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added_tokens.json
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{
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"\t\t": 50294,
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"\t\t\t": 50293,
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"\t\t\t\t\t\t\t": 50289,
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"\t\t\t\t\t\t\t\t": 50288,
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"\t\t\t\t\t\t\t\t\t": 50287,
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"<|im_end|>": 50295,
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"<|im_start|>": 50296
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}
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config.json
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{
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"_name_or_path": "rhysjones/phi-2-orange",
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"activation_function": "gelu_new",
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"architectures": [
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"PhiForCausalLM"
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],
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"attn_pdrop": 0.0,
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"auto_map": {
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"AutoConfig": "rhysjones/phi-2-orange--configuration_phi.PhiConfig",
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"AutoModelForCausalLM": "rhysjones/phi-2-orange--modeling_phi.PhiForCausalLM"
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},
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"embd_pdrop": 0.0,
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"flash_attn": false,
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"flash_rotary": false,
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"fused_dense": false,
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"img_processor": null,
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"initializer_range": 0.02,
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"layer_norm_epsilon": 1e-05,
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"model_type": "phi-msft",
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"n_embd": 2560,
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"n_head": 32,
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"n_head_kv": null,
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"n_inner": null,
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"n_layer": 32,
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"n_positions": 2048,
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"resid_pdrop": 0.1,
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"rotary_dim": 32,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.38.2",
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"use_cache": false,
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"vocab_size": 51200
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}
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mergekit_config.yml
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models:
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- model: rhysjones/phi-2-orange
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parameters:
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weight: 1.0
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- model: cognitivecomputations/dolphin-2_6-phi-2
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parameters:
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weight: 0.8
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merge_method: linear
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dtype: float16
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merges.txt
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model-00001-of-00003.safetensors
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model.safetensors.index.json
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|
20 |
+
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|
21 |
+
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|
22 |
+
},
|
23 |
+
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|
24 |
+
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|
25 |
+
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|
26 |
+
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|
27 |
+
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|
28 |
+
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|
29 |
+
}
|
30 |
+
}
|
tokenizer.json
ADDED
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|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,340 @@
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|
1 |
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{
|
2 |
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|
3 |
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|
4 |
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|
5 |
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6 |
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7 |
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25 |
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|
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30 |
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|
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|
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312 |
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|
313 |
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|
314 |
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|
315 |
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|
316 |
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|
317 |
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|
318 |
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|
319 |
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|
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|
321 |
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|
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|
323 |
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|
324 |
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|
325 |
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|
326 |
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|
327 |
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|
329 |
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|
330 |
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|
331 |
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|
332 |
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|
333 |
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|
334 |
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|
335 |
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336 |
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|
337 |
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|
338 |
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"tokenizer_class": "CodeGenTokenizer",
|
339 |
+
"unk_token": "<|endoftext|>"
|
340 |
+
}
|
vocab.json
ADDED
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|