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Model: jtatman/TinyDolphin-3x-MoE
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*.7z filter=lfs diff=lfs merge=lfs -text
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---
license: apache-2.0
tags:
- moe
- frankenmoe
- merge
- mergekit
- lazymergekit
- cognitivecomputations/TinyDolphin-2.8.1-1.1b
base_model:
- cognitivecomputations/TinyDolphin-2.8.1-1.1b
- cognitivecomputations/TinyDolphin-2.8.1-1.1b
- cognitivecomputations/TinyDolphin-2.8.1-1.1b
---
# TinyDolphin-3x-MoE
TinyDolphin-3x-MoE is a Mixure of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [cognitivecomputations/TinyDolphin-2.8.1-1.1b](https://huggingface.co/cognitivecomputations/TinyDolphin-2.8.1-1.1b)
* [cognitivecomputations/TinyDolphin-2.8.1-1.1b](https://huggingface.co/cognitivecomputations/TinyDolphin-2.8.1-1.1b)
* [cognitivecomputations/TinyDolphin-2.8.1-1.1b](https://huggingface.co/cognitivecomputations/TinyDolphin-2.8.1-1.1b)
## 🧩 Configuration
```yaml
base_model: cognitivecomputations/TinyDolphin-2.8.1-1.1b
gate_mode: hidden
dtype: float16
experts:
- source_model: cognitivecomputations/TinyDolphin-2.8.1-1.1b
positive_prompts:
- "think step-by-step and follow these instructions"
- "read the following passage, and summarize it in less than 30 words."
- "please answer this question, consider the options carefully, and return the most likely answer."
- source_model: cognitivecomputations/TinyDolphin-2.8.1-1.1b
positive_prompts: ["produce python code"]
- source_model: cognitivecomputations/TinyDolphin-2.8.1-1.1b
positive_prompts: ["What is 2 x 22?"]
```
## 💻 Usage
```python
!pip install -qU transformers bitsandbytes accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "jtatman/TinyDolphin-3x-MoE"
tokenizer = AutoTokenizer.from_pretrained(model)
pipeline = transformers.pipeline(
"text-generation",
model=model,
model_kwargs={"torch_dtype": torch.float16, "load_in_4bit": True},
)
messages = [{"role": "user", "content": "Explain what a Mixture of Experts is in less than 100 words."}]
prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])
```
Eval:
hf ({'pretrained': 'jtatman/TinyDolphin-3x-MoE'}), gen_kwargs: ({}), limit: None, num_fewshot: 0, batch_size: auto (64)
| Tasks |Version|Filter|n-shot| Metric | |Value | |Stderr|
|-------------|------:|------|-----:|--------|---|-----:|---|-----:|
|arc_challenge| 1|none | 0|acc |↑ |0.3063|± |0.0135|
| | |none | 0|acc_norm|↑ |0.3285|± |0.0137|
|arc_easy | 1|none | 0|acc |↑ |0.5981|± |0.0101|
| | |none | 0|acc_norm|↑ |0.5467|± |0.0102|
|hellaswag | 1|none | 0|acc |↑ |0.4656|± |0.0050|
| | |none | 0|acc_norm|↑ |0.6004|± |0.0049|
|openbookqa | 1|none | 0|acc |↑ |0.2300|± |0.0188|
| | |none | 0|acc_norm|↑ |0.3640|± |0.0215|
|piqa | 1|none | 0|acc |↑ |0.7318|± |0.0103|
| | |none | 0|acc_norm|↑ |0.7296|± |0.0104|

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{
"_name_or_path": "cognitivecomputations/TinyDolphin-2.8.1-1.1b",
"architectures": [
"MixtralForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
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"eos_token_id": 32000,
"hidden_act": "silu",
"hidden_size": 2048,
"initializer_range": 0.02,
"intermediate_size": 5632,
"max_position_embeddings": 4096,
"model_type": "mixtral",
"num_attention_heads": 32,
"num_experts_per_tok": 2,
"num_hidden_layers": 22,
"num_key_value_heads": 4,
"num_local_experts": 3,
"output_router_logits": false,
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"rope_theta": 10000.0,
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"sliding_window": null,
"tie_word_embeddings": false,
"torch_dtype": "float16",
"transformers_version": "4.37.2",
"use_cache": true,
"vocab_size": 32002
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base_model: cognitivecomputations/TinyDolphin-2.8.1-1.1b
gate_mode: hidden
dtype: float16
experts:
- source_model: cognitivecomputations/TinyDolphin-2.8.1-1.1b
positive_prompts:
- "think step-by-step and follow these instructions"
- "read the following passage, and summarize it in less than 30 words."
- "please answer this question, consider the options carefully, and return the most likely answer."
- source_model: cognitivecomputations/TinyDolphin-2.8.1-1.1b
positive_prompts: ["produce python code"]
- source_model: cognitivecomputations/TinyDolphin-2.8.1-1.1b
positive_prompts: ["What is 2 x 22?"]

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