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Browse files- README.md +56 -0
- config.json +26 -0
- mergekit_config.yml +13 -0
- model-00001-of-00008.safetensors +3 -0
- model-00002-of-00008.safetensors +3 -0
- model-00003-of-00008.safetensors +3 -0
- model-00004-of-00008.safetensors +3 -0
- model-00005-of-00008.safetensors +3 -0
- model-00006-of-00008.safetensors +3 -0
- model-00007-of-00008.safetensors +3 -0
- model-00008-of-00008.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +40 -0
README.md
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---
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tags:
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- merge
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- mergekit
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- lazymergekit
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- bineric/NorskGPT-Mistral-7b
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base_model:
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- bineric/NorskGPT-Mistral-7b
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---
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# Munin-NeuralBeagle-NorskGPT
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Munin-NeuralBeagle-NorskGPT is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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* [bineric/NorskGPT-Mistral-7b](https://huggingface.co/bineric/NorskGPT-Mistral-7b)
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## 🧩 Configuration
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```yaml
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models:
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- model: RJuro/munin-neuralbeagle-7b
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# No parameters necessary for base model
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- model: bineric/NorskGPT-Mistral-7b
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parameters:
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density: 0.53
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weight: 0.6
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merge_method: dare_ties
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base_model: RJuro/munin-neuralbeagle-7b
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parameters:
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int8_mask: true
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dtype: bfloat16
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```
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## 💻 Usage
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```python
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!pip install -qU transformers 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 = "birgermoell/Munin-NeuralBeagle-NorskGPT"
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messages = [{"role": "user", "content": "What is a large language model?"}]
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tokenizer = AutoTokenizer.from_pretrained(model)
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prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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pipeline = transformers.pipeline(
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"text-generation",
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model=model,
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torch_dtype=torch.float16,
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device_map="auto",
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)
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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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config.json
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{
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"_name_or_path": "RJuro/munin-neuralbeagle-7b",
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"architectures": [
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"MistralForCausalLM"
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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": 2,
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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": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-05,
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"rope_theta": 10000.0,
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"sliding_window": 4096,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.35.2",
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"use_cache": false,
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"vocab_size": 32000
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}
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mergekit_config.yml
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models:
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- model: RJuro/munin-neuralbeagle-7b
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# No parameters necessary for base model
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- model: bineric/NorskGPT-Mistral-7b
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parameters:
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density: 0.53
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weight: 0.6
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merge_method: dare_ties
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base_model: RJuro/munin-neuralbeagle-7b
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parameters:
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int8_mask: true
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dtype: bfloat16
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"bos_token": "<s>",
|
30 |
+
"clean_up_tokenization_spaces": false,
|
31 |
+
"eos_token": "</s>",
|
32 |
+
"legacy": true,
|
33 |
+
"model_max_length": 1000000000000000019884624838656,
|
34 |
+
"pad_token": null,
|
35 |
+
"sp_model_kwargs": {},
|
36 |
+
"spaces_between_special_tokens": false,
|
37 |
+
"tokenizer_class": "LlamaTokenizer",
|
38 |
+
"unk_token": "<unk>",
|
39 |
+
"use_default_system_prompt": false
|
40 |
+
}
|