Text Generation
Transformers
Safetensors
mixtral
Mixture of Experts
frankenmoe
Merge
mergekit
lazymergekit
Open-Orca/Mistral-7B-OpenOrca
NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story
S-miguel/The-Trinity-Coder-7B
chihoonlee10/T3Q-Mistral-Orca-Math-DPO
conversational
text-generation-inference
Inference Endpoints
Upload folder using huggingface_hub
Browse files- README.md +91 -0
- added_tokens.json +4 -0
- config.json +30 -0
- mergekit_moe_config.yml +37 -0
- model-00001-of-00005.safetensors +3 -0
- model-00002-of-00005.safetensors +3 -0
- model-00003-of-00005.safetensors +3 -0
- model-00004-of-00005.safetensors +3 -0
- model-00005-of-00005.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 +60 -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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- Open-Orca/Mistral-7B-OpenOrca
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- NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story
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- S-miguel/The-Trinity-Coder-7B
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- chihoonlee10/T3Q-Mistral-Orca-Math-DPO
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base_model:
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- Open-Orca/Mistral-7B-OpenOrca
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- NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story
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- S-miguel/The-Trinity-Coder-7B
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- chihoonlee10/T3Q-Mistral-Orca-Math-DPO
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---
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# sixtyoneeighty-7b-MOE
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sixtyoneeighty-7b-MOE 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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* [Open-Orca/Mistral-7B-OpenOrca](https://huggingface.co/Open-Orca/Mistral-7B-OpenOrca)
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* [NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story](https://huggingface.co/NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story)
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* [S-miguel/The-Trinity-Coder-7B](https://huggingface.co/S-miguel/The-Trinity-Coder-7B)
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* [chihoonlee10/T3Q-Mistral-Orca-Math-DPO](https://huggingface.co/chihoonlee10/T3Q-Mistral-Orca-Math-DPO)
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## 🧩 Configuration
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```yaml
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base_model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
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gate_mode: hidden
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dtype: bfloat16
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experts_per_token: 2
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experts:
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- source_model: Open-Orca/Mistral-7B-OpenOrca
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positive_prompts:
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- "What are some fun activities to do in Seattle?"
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- "What are some fun historical facts about New York City?"
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negative_prompts:
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- "Write a Python script to scrape data from a website."
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- "Explain the key differences between Bayesian and frequentist statistics."
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- source_model: NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story
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positive_prompts:
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- "Write me a fictional story about dragons and wizards?"
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- "From now on take on the role of Dwayne Johnson"
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negative_prompts:
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- "When is the next solar eclipse."
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- "What year did World War II end?"
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- source_model: S-miguel/The-Trinity-Coder-7B
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positive_prompts:
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- "Can you review my JavaScript code and suggest ways to optimize it for better performance?"
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- "I'm getting an 'undefined variable' error in my Python script. Here's the code: [code snippet]"
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negative_prompts:
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- "What are some effective strategies for managing stress and anxiety?"
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- "Compare and contrast the themes in 'The Great Gatsby' and 'The Catcher in the Rye'."
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- source_model: chihoonlee10/T3Q-Mistral-Orca-Math-DPO
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positive_prompts:
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- "What's a square root of 1337?"
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- "Find the midpoint of the line segment with the given end points (-5,7) and (-2,1)"
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negative_prompts:
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- "What are some effective strategies for managing stress and anxiety?"
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- "Compare and contrast the themes in 'The Great Gatsby' and 'The Catcher in the Rye'."
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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 = "jambroz/sixtyoneeighty-7b-MOE"
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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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"<|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": "cognitivecomputations/dolphin-2.8-mistral-7b-v02",
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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": 4,
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"output_router_logits": false,
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"rms_norm_eps": 1e-05,
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"rope_theta": 1000000.0,
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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": 32002
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}
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mergekit_moe_config.yml
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base_model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
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gate_mode: hidden
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dtype: bfloat16
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+
experts_per_token: 2
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experts:
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+
- source_model: Open-Orca/Mistral-7B-OpenOrca
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+
positive_prompts:
|
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+
- "What are some fun activities to do in Seattle?"
|
10 |
+
- "What are some fun historical facts about New York City?"
|
11 |
+
negative_prompts:
|
12 |
+
- "Write a Python script to scrape data from a website."
|
13 |
+
- "Explain the key differences between Bayesian and frequentist statistics."
|
14 |
+
|
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+
- source_model: NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story
|
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+
positive_prompts:
|
17 |
+
- "Write me a fictional story about dragons and wizards?"
|
18 |
+
- "From now on take on the role of Dwayne Johnson"
|
19 |
+
negative_prompts:
|
20 |
+
- "When is the next solar eclipse."
|
21 |
+
- "What year did World War II end?"
|
22 |
+
|
23 |
+
- source_model: S-miguel/The-Trinity-Coder-7B
|
24 |
+
positive_prompts:
|
25 |
+
- "Can you review my JavaScript code and suggest ways to optimize it for better performance?"
|
26 |
+
- "I'm getting an 'undefined variable' error in my Python script. Here's the code: [code snippet]"
|
27 |
+
negative_prompts:
|
28 |
+
- "What are some effective strategies for managing stress and anxiety?"
|
29 |
+
- "Compare and contrast the themes in 'The Great Gatsby' and 'The Catcher in the Rye'."
|
30 |
+
|
31 |
+
- source_model: chihoonlee10/T3Q-Mistral-Orca-Math-DPO
|
32 |
+
positive_prompts:
|
33 |
+
- "What's a square root of 1337?"
|
34 |
+
- "Find the midpoint of the line segment with the given end points (-5,7) and (-2,1)"
|
35 |
+
negative_prompts:
|
36 |
+
- "What are some effective strategies for managing stress and anxiety?"
|
37 |
+
- "Compare and contrast the themes in 'The Great Gatsby' and 'The Catcher in the Rye'."
|
model-00001-of-00005.safetensors
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model.safetensors.index.json
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special_tokens_map.json
ADDED
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{
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"bos_token": {
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"content": "<s>",
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4 |
+
"lstrip": false,
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5 |
+
"normalized": false,
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6 |
+
"rstrip": false,
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7 |
+
"single_word": false
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+
},
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9 |
+
"eos_token": {
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10 |
+
"content": "<|im_end|>",
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11 |
+
"lstrip": false,
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12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
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+
"single_word": false
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+
},
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+
"pad_token": "<s>",
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17 |
+
"unk_token": {
|
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+
"content": "<unk>",
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+
"lstrip": false,
|
20 |
+
"normalized": false,
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21 |
+
"rstrip": false,
|
22 |
+
"single_word": false
|
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+
}
|
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+
}
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tokenizer.json
ADDED
The diff for this file is too large to render.
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tokenizer.model
ADDED
@@ -0,0 +1,3 @@
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+
version https://git-lfs.github.com/spec/v1
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2 |
+
oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
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3 |
+
size 493443
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tokenizer_config.json
ADDED
@@ -0,0 +1,60 @@
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1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"add_prefix_space": true,
|
5 |
+
"added_tokens_decoder": {
|
6 |
+
"0": {
|
7 |
+
"content": "<unk>",
|
8 |
+
"lstrip": false,
|
9 |
+
"normalized": false,
|
10 |
+
"rstrip": false,
|
11 |
+
"single_word": false,
|
12 |
+
"special": true
|
13 |
+
},
|
14 |
+
"1": {
|
15 |
+
"content": "<s>",
|
16 |
+
"lstrip": false,
|
17 |
+
"normalized": false,
|
18 |
+
"rstrip": false,
|
19 |
+
"single_word": false,
|
20 |
+
"special": true
|
21 |
+
},
|
22 |
+
"2": {
|
23 |
+
"content": "</s>",
|
24 |
+
"lstrip": false,
|
25 |
+
"normalized": false,
|
26 |
+
"rstrip": false,
|
27 |
+
"single_word": false,
|
28 |
+
"special": true
|
29 |
+
},
|
30 |
+
"32000": {
|
31 |
+
"content": "<|im_end|>",
|
32 |
+
"lstrip": false,
|
33 |
+
"normalized": false,
|
34 |
+
"rstrip": false,
|
35 |
+
"single_word": false,
|
36 |
+
"special": true
|
37 |
+
},
|
38 |
+
"32001": {
|
39 |
+
"content": "<|im_start|>",
|
40 |
+
"lstrip": false,
|
41 |
+
"normalized": false,
|
42 |
+
"rstrip": false,
|
43 |
+
"single_word": false,
|
44 |
+
"special": false
|
45 |
+
}
|
46 |
+
},
|
47 |
+
"bos_token": "<s>",
|
48 |
+
"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
|
49 |
+
"clean_up_tokenization_spaces": false,
|
50 |
+
"eos_token": "<|im_end|>",
|
51 |
+
"legacy": true,
|
52 |
+
"model_max_length": 1000000000000000019884624838656,
|
53 |
+
"pad_token": "<s>",
|
54 |
+
"sp_model_kwargs": {},
|
55 |
+
"spaces_between_special_tokens": false,
|
56 |
+
"tokenizer_class": "LlamaTokenizer",
|
57 |
+
"unk_token": "<unk>",
|
58 |
+
"use_default_system_prompt": false,
|
59 |
+
"use_fast": true
|
60 |
+
}
|