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--- |
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license: mit |
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pipeline_tag: text-generation |
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tags: |
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- merge |
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- mergekit |
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- mistral |
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- moe |
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- conversational |
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- chicka |
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--- |
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### Model Description |
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This model is a Mixture of Experts merged LLM consisting of 3 mistral based models: |
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base model/conversational expert, **openchat/openchat-3.5-0106** |
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code expert, **beowolx/CodeNinja-1.0-OpenChat-7B** |
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math expert, **meta-math/MetaMath-Mistral-7B** |
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This is the Mergekit config used in the merging process: |
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``` yaml |
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base_model: openchat/openchat-3.5-0106 |
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experts: |
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- source_model: openchat/openchat-3.5-0106 |
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positive_prompts: |
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- "chat" |
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- "assistant" |
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- "tell me" |
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- "explain" |
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- "I want" |
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- source_model: beowolx/CodeNinja-1.0-OpenChat-7B |
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positive_prompts: |
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- "code" |
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- "python" |
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- "javascript" |
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- "programming" |
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- "algorithm" |
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- "C#" |
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- "C++" |
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- "debug" |
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- "runtime" |
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- "html" |
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- "command" |
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- "nodejs" |
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- source_model: meta-math/MetaMath-Mistral-7B |
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positive_prompts: |
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- "reason" |
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- "math" |
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- "mathematics" |
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- "solve" |
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- "count" |
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- "calculate" |
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- "arithmetic" |
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- "algebra" |
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``` |
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### Open LLM Leaderboards |
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| **Benchmark** | **Chicka-Mixtral-3X7B** | **Mistral-7B-Instruct-v0.2** | **Meta-Llama-3-8B** | |
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|--------------|----------------------|--------------------------|-----------------| |
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| **Average** | **69.19** | 60.97 | 62.55 | |
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| **ARC** | **64.08** | 59.98 | 59.47 | |
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| **Hellaswag** | **83.96** | 83.31 | 82.09 | |
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| **MMLU** | 64.87 | 64.16 | **66.67** | |
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| **TruthfulQA** | **50.51** | 42.15 | 43.95 | |
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| **Winogrande** | **81.06** | 78.37 | 77.35 | |
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| **GSM8K** | **70.66** | 37.83 | 45.79 | |
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### Usage |
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```python |
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from transformers import AutoModelForCausalLM, AutoTokenizer |
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device = "cuda" # the device to load the model onto |
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model = AutoModelForCausalLM.from_pretrained("Chickaboo/Chicka-Mistral-3x7b") |
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tokenizer = AutoTokenizer.from_pretrained("Chickaboo/Chicka-Mixtral-3x7b") |
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messages = [ |
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{"role": "user", "content": "What is your favourite condiment?"}, |
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{"role": "assistant", "content": "Well, I'm quite partial to a good squeeze of fresh lemon juice. It adds just the right amount of zesty flavour to whatever I'm cooking up in the kitchen!"}, |
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{"role": "user", "content": "Do you have mayonnaise recipes?"} |
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] |
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encodeds = tokenizer.apply_chat_template(messages, return_tensors="pt") |
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model_inputs = encodeds.to(device) |
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model.to(device) |
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generated_ids = model.generate(model_inputs, max_new_tokens=1000, do_sample=True) |
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decoded = tokenizer.batch_decode(generated_ids) |
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print(decoded[0]) |
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``` |
