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Parent(s):
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Upload folder using huggingface_hub
Browse files- README.md +120 -0
- added_tokens.json +4 -0
- config.json +30 -0
- mergekit_moe_config.yml +43 -0
- model.safetensors.index.json +1 -0
- output.safetensors +3 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +61 -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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- merge
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- abideen/NexoNimbus-7B
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- mlabonne/NeuralMarcoro14-7B
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language:
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- en
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library_name: transformers
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---
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# NexoNimbus-MoE-2x7B
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/64e380b2e12618b261fa6ba0/_bzC6xkVIHW0tSigBxUI3.png)
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NexoNimbus-MoE-2x7B is a Mixure of Experts (MoE) made with the following models:
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* [abideen/NexoNimbus-7B](https://huggingface.co/abideen/NexoNimbus-7B)
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* [mlabonne/NeuralMarcoro14-7B](https://huggingface.co/mlabonne/NeuralMarcoro14-7B)
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🏆 Evaluation
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NexoNimbus-MoE-2x7B is the 10th best-performing 13B LLM on the Open LLM Leaderboard:
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/64e380b2e12618b261fa6ba0/z8E728H5fJqVtKNeGuwjX.png)
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| Task |Version| Metric |Value| |Stderr|
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|-------------|------:|--------|----:|---|-----:|
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|arc_challenge| 0|acc |62.28|± | 1.41|
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| | |acc_norm|66.80|± | 1.37|
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|hellaswag | 0|acc |66.83|± | 0.46|
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| | |acc_norm|85.66|± | 0.34|
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|gsm8k | 0|acc |53.52|± | 1.37|
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|winogrande | 0|acc |81.53|± | 1.09|
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|mmlu | 0|acc |64.51|± | 1.00|
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Average: 67.51%
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### TruthfulQA
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| Task |Version|Metric|Value| |Stderr|
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|-------------|------:|------|----:|---|-----:|
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|truthfulqa_mc| 1|mc1 |35.98|± | 1.68|
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| | |mc2 |53.05|± | 1.53|
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## 🧩 Configuration
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```yaml
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base_model: teknium/OpenHermes-2.5-Mistral-7B
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gate_mode: hidden
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dtype: bfloat16
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experts:
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- source_model: abideen/NexoNimbus-7B
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positive_prompts:
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- "Mathematics"
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- "Physics"
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- "Chemistry"
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- "Biology"
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- "Medicine"
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- "Engineering"
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- "Computer Science"
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negative_prompts:
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- "History"
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- "Philosophy"
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- "Linguistics"
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- "Literature"
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- "Art and Art History"
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- "Music Theory and Composition"
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- "Performing Arts (Theater, Dance)"
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- source_model: mlabonne/NeuralMarcoro14-7B
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positive_prompts:
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- "Earth Sciences (Geology, Meteorology, Oceanography)"
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- "Environmental Science"
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- "Astronomy and Space Science"
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- "Psychology"
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- "Sociology"
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- "Anthropology"
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- "Political Science"
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- "Economics"
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negative_prompts:
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- "Education"
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- "Law"
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- "Theology and Religious Studies"
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- "Communication Studies"
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- "Business and Management"
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- "Agricultural Sciences"
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- "Nutrition and Food Science"
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- "Sports Science"
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```
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## 💻 Usage
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Here's a [Colab notebook](https://colab.research.google.com/drive/1B1Q7vO95cDkEJbKIPhOWr6exB9-Q_lr-?usp=sharing) to run NexoNimbus-MoE-2x7B in 4-bit precision on a free T4 GPU.
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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 = "abideen/NexoNimbus-MoE-2x7B"
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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 is data science."}]
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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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"Data science is an interdisciplinary field that combines mathematics, statistics, computer science, and domain expertise in order to extract meaningful insights and knowledge from structured and unstructured data. It involves the process of collecting, cleaning, transforming, analyzing, and visualizing data in order to identify patterns, trends, and relationships that can inform decision-making and drive business strategies. Data scientists use various tools and techniques, such as machine learning, deep learning, and natural language processing, to develop predictive models, optimize processes, and automate decision-making. The field of data science is rapidly evolving as more and more data is generated and the demand for data-driven insights continues to grow."
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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": "teknium/OpenHermes-2.5-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": "4.36.2",
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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: teknium/OpenHermes-2.5-Mistral-7B
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gate_mode: hidden
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dtype: bfloat16
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experts:
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- source_model: abideen/NexoNimbus-7B
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positive_prompts:
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- "Mathematics"
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- "Physics"
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- "Chemistry"
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- "Biology"
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- "Medicine"
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- "Engineering"
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- "Computer Science"
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negative_prompts:
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- "History"
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- "Philosophy"
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- "Linguistics"
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- "Literature"
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- "Art and Art History"
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- "Music Theory and Composition"
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- "Performing Arts (Theater, Dance)"
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- source_model: mlabonne/NeuralMarcoro14-7B
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positive_prompts:
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- "Earth Sciences (Geology, Meteorology, Oceanography)"
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- "Environmental Science"
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- "Astronomy and Space Science"
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- "Psychology"
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- "Sociology"
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- "Anthropology"
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- "Political Science"
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- "Economics"
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negative_prompts:
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- "Education"
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- "Law"
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- "Theology and Religious Studies"
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- "Communication Studies"
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- "Business and Management"
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- "Agricultural Sciences"
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- "Nutrition and Food Science"
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- "Sports Science"
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model.safetensors.index.json
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{"metadata": {"mergekit_version": "0.0.3.2"}, "weight_map": {"model.embed_tokens.weight": "model-00001-of-00013.safetensors", "model.norm.weight": "model-00001-of-00013.safetensors", "lm_head.weight": "model-00001-of-00013.safetensors", "model.layers.0.input_layernorm.weight": "model-00001-of-00013.safetensors", "model.layers.1.input_layernorm.weight": "model-00001-of-00013.safetensors", "model.layers.2.input_layernorm.weight": "model-00001-of-00013.safetensors", "model.layers.3.input_layernorm.weight": "model-00001-of-00013.safetensors", "model.layers.4.input_layernorm.weight": "model-00001-of-00013.safetensors", "model.layers.5.input_layernorm.weight": "model-00001-of-00013.safetensors", "model.layers.6.input_layernorm.weight": "model-00001-of-00013.safetensors", "model.layers.7.input_layernorm.weight": "model-00001-of-00013.safetensors", "model.layers.8.input_layernorm.weight": "model-00001-of-00013.safetensors", "model.layers.9.input_layernorm.weight": 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|
19 |
+
"special": true
|
20 |
+
},
|
21 |
+
"2": {
|
22 |
+
"content": "</s>",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": false,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": true
|
28 |
+
},
|
29 |
+
"32000": {
|
30 |
+
"content": "<|im_end|>",
|
31 |
+
"lstrip": false,
|
32 |
+
"normalized": false,
|
33 |
+
"rstrip": false,
|
34 |
+
"single_word": false,
|
35 |
+
"special": true
|
36 |
+
},
|
37 |
+
"32001": {
|
38 |
+
"content": "<|im_start|>",
|
39 |
+
"lstrip": false,
|
40 |
+
"normalized": false,
|
41 |
+
"rstrip": false,
|
42 |
+
"single_word": false,
|
43 |
+
"special": true
|
44 |
+
}
|
45 |
+
},
|
46 |
+
"additional_special_tokens": [],
|
47 |
+
"bos_token": "<s>",
|
48 |
+
"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 %}",
|
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 |
+
"trust_remote_code": false,
|
58 |
+
"unk_token": "<unk>",
|
59 |
+
"use_default_system_prompt": true,
|
60 |
+
"use_fast": true
|
61 |
+
}
|