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Browse files- .ipynb_checkpoints/tokenizer-checkpoint.json +0 -0
- README.md +60 -0
- config.json +30 -0
- mergekit_moe_config.yml +14 -0
- model-00001-of-00004.safetensors +3 -0
- model-00002-of-00004.safetensors +3 -0
- model-00003-of-00004.safetensors +3 -0
- model-00004-of-00004.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +29 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +46 -0
.ipynb_checkpoints/tokenizer-checkpoint.json
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README.md
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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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- merge
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- mergekit
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- lazymergekit
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- MediaTek-Research/Breeze-7B-Instruct-v0.1
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- augmxnt/shisa-7b-v1
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- beomi/OPEN-SOLAR-KO-10.7B
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---
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# EastAsia-4x7B-Moe-experiment
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EastAsia-4x7B-Moe-experiment 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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* [MediaTek-Research/Breeze-7B-Instruct-v0.1](https://huggingface.co/MediaTek-Research/Breeze-7B-Instruct-v0.1)
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* [augmxnt/shisa-7b-v1](https://huggingface.co/augmxnt/shisa-7b-v1)
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* [beomi/OPEN-SOLAR-KO-10.7B](https://huggingface.co/beomi/OPEN-SOLAR-KO-10.7B)
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## 🧩 Configuration
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```yaml
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gate_mode: hidden
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dtype: bfloat16
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base_model: mlabonne/Marcoro14-7B-slerp
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experts:
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- source_model: MediaTek-Research/Breeze-7B-Instruct-v0.1
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positive_prompts:
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- "翻譯"
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- source_model: augmxnt/shisa-7b-v1
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positive_prompts:
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- "翻訳"
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- source_model: beomi/OPEN-SOLAR-KO-10.7B
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positive_prompts:
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- "번역"
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```
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## 💻 Usage
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```python
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!pip install -qU transformers bitsandbytes 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 = "Heng666/EastAsia-4x7B-Moe-experiment"
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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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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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config.json
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{
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"_name_or_path": "mlabonne/Marcoro14-7B-slerp",
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"architectures": [
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"MixtralForCausalLM"
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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": "mixtral",
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"num_attention_heads": 32,
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"num_experts_per_tok": 2,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"num_local_experts": 3,
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"output_router_logits": false,
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"rms_norm_eps": 1e-05,
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"rope_theta": 10000.0,
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"router_aux_loss_coef": 0.001,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.36.2",
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"use_cache": true,
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"vocab_size": 32000
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}
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mergekit_moe_config.yml
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gate_mode: hidden
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dtype: bfloat16
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base_model: mlabonne/Marcoro14-7B-slerp
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experts:
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- source_model: MediaTek-Research/Breeze-7B-Instruct-v0.1
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positive_prompts:
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- "翻譯"
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- source_model: augmxnt/shisa-7b-v1
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positive_prompts:
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- "翻訳"
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- source_model: beomi/OPEN-SOLAR-KO-10.7B
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positive_prompts:
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- "번역"
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model-00001-of-00004.safetensors
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special_tokens_map.json
ADDED
@@ -0,0 +1,29 @@
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{
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"additional_special_tokens": [
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"<unk>",
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4 |
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"<s>",
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5 |
+
"</s>"
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+
],
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"bos_token": {
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+
"content": "<s>",
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9 |
+
"lstrip": false,
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10 |
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"normalized": false,
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11 |
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"rstrip": false,
|
12 |
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"single_word": false
|
13 |
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},
|
14 |
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"eos_token": {
|
15 |
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"content": "</s>",
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16 |
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"lstrip": false,
|
17 |
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"normalized": false,
|
18 |
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"rstrip": false,
|
19 |
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"single_word": false
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},
|
21 |
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"pad_token": "<s>",
|
22 |
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"unk_token": {
|
23 |
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"content": "<unk>",
|
24 |
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"lstrip": false,
|
25 |
+
"normalized": false,
|
26 |
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"rstrip": false,
|
27 |
+
"single_word": false
|
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+
}
|
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+
}
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tokenizer.json
ADDED
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tokenizer.model
ADDED
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+
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
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3 |
+
size 493443
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tokenizer_config.json
ADDED
@@ -0,0 +1,46 @@
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1 |
+
{
|
2 |
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"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
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"added_tokens_decoder": {
|
5 |
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"0": {
|
6 |
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"content": "<unk>",
|
7 |
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"lstrip": false,
|
8 |
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"normalized": false,
|
9 |
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"rstrip": false,
|
10 |
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"single_word": false,
|
11 |
+
"special": true
|
12 |
+
},
|
13 |
+
"1": {
|
14 |
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"content": "<s>",
|
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+
"lstrip": false,
|
16 |
+
"normalized": false,
|
17 |
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"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
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"special": true
|
20 |
+
},
|
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"2": {
|
22 |
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"content": "</s>",
|
23 |
+
"lstrip": false,
|
24 |
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"normalized": false,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": true
|
28 |
+
}
|
29 |
+
},
|
30 |
+
"additional_special_tokens": [
|
31 |
+
"<unk>",
|
32 |
+
"<s>",
|
33 |
+
"</s>"
|
34 |
+
],
|
35 |
+
"bos_token": "<s>",
|
36 |
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"clean_up_tokenization_spaces": false,
|
37 |
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"eos_token": "</s>",
|
38 |
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"legacy": true,
|
39 |
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"model_max_length": 1000000000000000019884624838656,
|
40 |
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"pad_token": "<s>",
|
41 |
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"sp_model_kwargs": {},
|
42 |
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"spaces_between_special_tokens": false,
|
43 |
+
"tokenizer_class": "LlamaTokenizer",
|
44 |
+
"unk_token": "<unk>",
|
45 |
+
"use_default_system_prompt": true
|
46 |
+
}
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