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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ tags:
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+ - moe
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+ - frankenmoe
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+ - merge
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+ - mergekit
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+ - lazymergekit
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+ - cognitivecomputations/dolphin-2_6-phi-2
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+ - rhysjones/phi-2-orange
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+ base_model:
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+ - cognitivecomputations/dolphin-2_6-phi-2
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+ - rhysjones/phi-2-orange
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+ ---
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+
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+ # PhiMiX-2x2B
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+
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+ PhiMiX-2x2B is a Mixure of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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+ * [cognitivecomputations/dolphin-2_6-phi-2](https://huggingface.co/cognitivecomputations/dolphin-2_6-phi-2)
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+ * [rhysjones/phi-2-orange](https://huggingface.co/rhysjones/phi-2-orange)
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+
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+ ## 🧩 Configuration
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+
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+ ```yaml
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+ base_model: rhysjones/phi-2-orange
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+ gate_mode: random
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+ dtype: float16
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+ experts:
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+ - source_model: cognitivecomputations/dolphin-2_6-phi-2
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+ positive_prompts: [""]
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+ - source_model: rhysjones/phi-2-orange
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+ positive_prompts: [""]
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+ ```
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+
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+ ## 💻 Usage
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+
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+ ```python
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+ !pip install -qU transformers bitsandbytes accelerate
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+
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+ from transformers import AutoTokenizer
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+ import transformers
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+ import torch
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+
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+ model = "paulilioaica/PhiMiX-2x2B"
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+
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+ tokenizer = AutoTokenizer.from_pretrained(model)
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+ pipeline = transformers.pipeline(
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+ "text-generation",
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+ model=model,
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+ model_kwargs={"torch_dtype": torch.float16, "load_in_4bit": True},
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+ )
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+
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+ messages = [{"role": "user", "content": "Explain what a Mixture of Experts is in less than 100 words."}]
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+ prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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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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+ {
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+ "_name_or_path": "rhysjones/phi-2-orange",
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+ "activation_function": "gelu_new",
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+ "PhiForCausalLM"
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+ ],
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+ "attention_dropout": 0.0,
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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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+ "layer_norm_eps": 1e-05,
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+ "layer_norm_epsilon": 1e-05,
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+ "model_type": "phi",
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+ "torch_dtype": "float16",
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+ "transformers_version": "4.37.1",
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+ "use_cache": false,
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+ "vocab_size": 51200
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+ }
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+ base_model: rhysjones/phi-2-orange
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+ gate_mode: random
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+ dtype: float16
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+ experts:
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+ - source_model: cognitivecomputations/dolphin-2_6-phi-2
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+ positive_prompts: [""]
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+ - source_model: rhysjones/phi-2-orange
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+ positive_prompts: [""]
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24
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62
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70
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72
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78
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80
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82
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85
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86
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88
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90
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93
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165
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167
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170
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172
+ "50277": {
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174
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177
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182
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+ "50281": {
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+ "50282": {
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+ },
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+ "50283": {
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+ "50287": {
253
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257
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261
+ "content": "\t\t\t\t\t\t\t\t",
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263
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264
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265
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266
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268
+ "50289": {
269
+ "content": "\t\t\t\t\t\t\t",
270
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271
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272
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273
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274
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275
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276
+ "50290": {
277
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278
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279
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280
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281
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282
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+ },
284
+ "50291": {
285
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286
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287
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288
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289
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290
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291
+ },
292
+ "50292": {
293
+ "content": "\t\t\t\t",
294
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296
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298
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+ },
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+ "50293": {
301
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305
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306
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308
+ "50294": {
309
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311
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312
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313
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314
+ "special": false
315
+ },
316
+ "50295": {
317
+ "content": "<|im_end|>",
318
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319
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320
+ "rstrip": false,
321
+ "single_word": false,
322
+ "special": true
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+ "50296": {
325
+ "content": "<|im_start|>",
326
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327
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328
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329
+ "single_word": false,
330
+ "special": false
331
+ }
332
+ },
333
+ "bos_token": "<|endoftext|>",
334
+ "clean_up_tokenization_spaces": true,
335
+ "eos_token": "<|im_end|>",
336
+ "model_max_length": 2048,
337
+ "pad_token": "<|endoftext|>",
338
+ "tokenizer_class": "CodeGenTokenizer",
339
+ "unk_token": "<|endoftext|>"
340
+ }
vocab.json ADDED
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