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Browse files- README.md +63 -0
- config.json +29 -0
- mergekit_config.yml +17 -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 +30 -0
- tokenizer.json +0 -0
- tokenizer_config.json +83 -0
README.md
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---
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base_model:
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- Finnish-NLP/Ahma-3B_hf_2024_06_20_08_52_28_checkpoint-3140
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- Finnish-NLP/Ahma-3B_hf_2024_06_09_15_42_08_checkpoint-1836
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tags:
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- merge
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- mergekit
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- lazymergekit
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- Finnish-NLP/Ahma-3B_hf_2024_06_20_08_52_28_checkpoint-3140
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- Finnish-NLP/Ahma-3B_hf_2024_06_09_15_42_08_checkpoint-1836
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---
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# Ahma-3B-Slerp
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Ahma-3B-Slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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* [Finnish-NLP/Ahma-3B_hf_2024_06_20_08_52_28_checkpoint-3140](https://huggingface.co/Finnish-NLP/Ahma-3B_hf_2024_06_20_08_52_28_checkpoint-3140)
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* [Finnish-NLP/Ahma-3B_hf_2024_06_09_15_42_08_checkpoint-1836](https://huggingface.co/Finnish-NLP/Ahma-3B_hf_2024_06_09_15_42_08_checkpoint-1836)
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## 🧩 Configuration
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```yaml
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slices:
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- sources:
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- model: Finnish-NLP/Ahma-3B_hf_2024_06_20_08_52_28_checkpoint-3140
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layer_range: [0, 26]
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- model: Finnish-NLP/Ahma-3B_hf_2024_06_09_15_42_08_checkpoint-1836
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layer_range: [0, 26]
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merge_method: slerp
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base_model: Finnish-NLP/Ahma-3B_hf_2024_06_20_08_52_28_checkpoint-3140
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parameters:
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t:
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- filter: self_attn
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value: [0, 0.5, 0.3, 0.7, 1]
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- filter: mlp
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value: [1, 0.5, 0.7, 0.3, 0]
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- value: 0.5
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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 = "RASMUS/Ahma-3B-Slerp"
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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": "Finnish-NLP/Ahma-3B_hf_2024_06_20_08_52_28_checkpoint-3140",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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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": 3200,
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"initializer_range": 0.02,
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"intermediate_size": 8640,
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"max_position_embeddings": 2048,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 26,
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"num_key_value_heads": 32,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-06,
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"rope_scaling": null,
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"rope_theta": 10000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.42.3",
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"use_cache": true,
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"vocab_size": 64257
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}
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mergekit_config.yml
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slices:
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- sources:
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- model: Finnish-NLP/Ahma-3B_hf_2024_06_20_08_52_28_checkpoint-3140
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layer_range: [0, 26]
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- model: Finnish-NLP/Ahma-3B_hf_2024_06_09_15_42_08_checkpoint-1836
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layer_range: [0, 26]
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merge_method: slerp
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base_model: Finnish-NLP/Ahma-3B_hf_2024_06_20_08_52_28_checkpoint-3140
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parameters:
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t:
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- filter: self_attn
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value: [0, 0.5, 0.3, 0.7, 1]
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- filter: mlp
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value: [1, 0.5, 0.7, 0.3, 0]
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- value: 0.5
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dtype: bfloat16
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special_tokens_map.json
ADDED
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tokenizer.json
ADDED
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tokenizer_config.json
ADDED
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72 |
+
"chat_template": "{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% set system_message = 'Olet tekoälyavustaja. Vastaat aina mahdollisimman avuliaasti. Vastauksesi eivät saa sisältää mitään haitallista, epäeettistä, rasistista, seksististä, vaarallista tai laitonta sisältöä. Jos kysymyksessä ei ole mitään järkeä tai se ei ole asiasisällöltään johdonmukainen, selitä miksi sen sijaan, että vastaisit jotain väärin. Jos et tiedä vastausta kysymykseen, älä kerro väärää tietoa.' %}{% endif %}{% for message in loop_messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if loop.index0 == 0 and system_message != false %}{% set content = '<<SYS>>\\n' + system_message + '\\n<</SYS>>\\n\\n' + message['content'] %}{% else %}{% set content = message['content'] %}{% endif %}{% if message['role'] == 'user' %}{{ bos_token + ' [INST] ' + content.strip() + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ ' ' + content.strip() + eos_token }}{% endif %}{% endfor %}",
|
73 |
+
"clean_up_tokenization_spaces": true,
|
74 |
+
"eos_token": "</s>",
|
75 |
+
"legacy": false,
|
76 |
+
"model_max_length": 1000000000000000019884624838656,
|
77 |
+
"pad_token": "<PAD>",
|
78 |
+
"sp_model_kwargs": {},
|
79 |
+
"spaces_between_special_tokens": false,
|
80 |
+
"tokenizer_class": "PreTrainedTokenizerFast",
|
81 |
+
"unk_token": "<unk>",
|
82 |
+
"use_default_system_prompt": false
|
83 |
+
}
|