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Browse files- README.md +65 -0
- added_tokens.json +34 -0
- config.json +30 -0
- mergekit_moe_config.yml +17 -0
- model-00001-of-00013.safetensors +3 -0
- model-00002-of-00013.safetensors +3 -0
- model-00003-of-00013.safetensors +3 -0
- model-00004-of-00013.safetensors +3 -0
- model-00005-of-00013.safetensors +3 -0
- model-00006-of-00013.safetensors +3 -0
- model-00007-of-00013.safetensors +3 -0
- model-00008-of-00013.safetensors +3 -0
- model-00009-of-00013.safetensors +3 -0
- model-00010-of-00013.safetensors +3 -0
- model-00011-of-00013.safetensors +3 -0
- model-00012-of-00013.safetensors +3 -0
- model-00013-of-00013.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +301 -0
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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- frankenmoe
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- merge
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- mergekit
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- lazymergekit
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- Locutusque/Hercules-4.0-Mistral-v0.2-7B
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- Open-Orca/Mistral-7B-OpenOrca
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base_model:
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- Locutusque/Hercules-4.0-Mistral-v0.2-7B
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- Open-Orca/Mistral-7B-OpenOrca
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---
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# seldonium-2x3b-MoE-v0.1
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seldonium-2x3b-MoE-v0.1 is a Mixture of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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* [Locutusque/Hercules-4.0-Mistral-v0.2-7B](https://huggingface.co/Locutusque/Hercules-4.0-Mistral-v0.2-7B)
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* [Open-Orca/Mistral-7B-OpenOrca](https://huggingface.co/Open-Orca/Mistral-7B-OpenOrca)
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## 🧩 Configuration
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```yaml
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base_model: NousResearch/Hermes-2-Pro-Mistral-7B
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gate_mode: cheap_embed # Use hidden state representations to determine MoE gates
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dtype: bfloat16 # Output data type
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experts_per_token: 2 # Number of experts per token
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experts:
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- source_model: Locutusque/Hercules-4.0-Mistral-v0.2-7B
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positive_prompts:
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- "Write a Python function to calculate the factorial of a number."
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- "Implement a quicksort algorithm to sort a list of integers."
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- "Design a Python class to represent a binary search tree."
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- source_model: Open-Orca/Mistral-7B-OpenOrca
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positive_prompts:
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- "Solve the logic puzzle: 'If Ann is older than Belinda, and Belinda is younger than Cathy, who is the oldest?'"
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- "Analyze the argument: 'All cats are animals. Some animals are pets. Therefore, all cats are pets.' Determine if the conclusion follows logically from the premises."
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- "Evaluate the validity of the statements: 'A is true. A is false.'"
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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 = "jomangbp/seldonium-2x3b-MoE-v0.1"
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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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added_tokens.json
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{
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"<pad10>": 32010,
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"<pad18>": 32018,
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"<pad2>": 32002,
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"<pad3>": 32003,
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"<pad4>": 32004,
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"<pad5>": 32005,
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"<pad6>": 32006,
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"<pad7>": 32007,
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"<pad8>": 32008,
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"<pad9>": 32009,
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"<|im_end|>": 32000,
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"<|im_start|>": 32001
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}
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config.json
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{
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"_name_or_path": "NousResearch/Hermes-2-Pro-Mistral-7B",
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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": 32000,
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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": 2,
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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": "4.39.3",
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"use_cache": false,
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"vocab_size": 32032
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}
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mergekit_moe_config.yml
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base_model: NousResearch/Hermes-2-Pro-Mistral-7B
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gate_mode: cheap_embed # Use hidden state representations to determine MoE gates
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dtype: bfloat16 # Output data type
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experts_per_token: 2 # Number of experts per token
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experts:
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- source_model: Locutusque/Hercules-4.0-Mistral-v0.2-7B
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positive_prompts:
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- "Write a Python function to calculate the factorial of a number."
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10 |
+
- "Implement a quicksort algorithm to sort a list of integers."
|
11 |
+
- "Design a Python class to represent a binary search tree."
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+
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+
- source_model: Open-Orca/Mistral-7B-OpenOrca
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positive_prompts:
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- "Solve the logic puzzle: 'If Ann is older than Belinda, and Belinda is younger than Cathy, who is the oldest?'"
|
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+
- "Analyze the argument: 'All cats are animals. Some animals are pets. Therefore, all cats are pets.' Determine if the conclusion follows logically from the premises."
|
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+
- "Evaluate the validity of the statements: 'A is true. A is false.'"
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special_tokens_map.json
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"content": "<|im_end|>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": "<s>",
|
17 |
+
"unk_token": {
|
18 |
+
"content": "<unk>",
|
19 |
+
"lstrip": false,
|
20 |
+
"normalized": false,
|
21 |
+
"rstrip": false,
|
22 |
+
"single_word": false
|
23 |
+
}
|
24 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
|
3 |
+
size 493443
|
tokenizer_config.json
ADDED
@@ -0,0 +1,301 @@
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|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"add_prefix_space": true,
|
5 |
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"added_tokens_decoder": {
|
6 |
+
"0": {
|
7 |
+
"content": "<unk>",
|
8 |
+
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|
9 |
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|
10 |
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|
11 |
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|
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|
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},
|
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|
15 |
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|
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|
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|
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|
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|
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|
21 |
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},
|
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"2": {
|
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"content": "</s>",
|
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|
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|
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|
27 |
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|
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|
29 |
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},
|
30 |
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"32000": {
|
31 |
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"content": "<|im_end|>",
|
32 |
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|
33 |
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|
34 |
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|
35 |
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|
36 |
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|
37 |
+
},
|
38 |
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"32001": {
|
39 |
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"content": "<|im_start|>",
|
40 |
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|
41 |
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|
42 |
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|
43 |
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|
44 |
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|
45 |
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},
|
46 |
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|
47 |
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|
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|
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|
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|
51 |
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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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|
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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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|
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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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|
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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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|
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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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|
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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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|
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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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|
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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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|
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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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|
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|
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},
|
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"additional_special_tokens": [],
|
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"bos_token": "<s>",
|
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"chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
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|
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|
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"unk_token": "<unk>",
|
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|
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"use_fast": true
|
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}
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