allknowingroger
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Browse files- README.md +32 -44
- config.json +29 -0
- mergekit_config.yml +20 -0
- model-00001-of-00003.safetensors +3 -0
- model-00002-of-00003.safetensors +3 -0
- model-00003-of-00003.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 +39 -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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-
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-
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- weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp
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base_model:
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- CorticalStack/shadow-clown-7B-slerp
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- weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp
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---
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* [
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* [
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```yaml
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slices:
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- sources:
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- model:
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layer_range: [0,
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- model:
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layer_range: [0,
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merge_method: slerp
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base_model:
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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:
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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 = "allknowingroger/WeyStack-2.5-7B-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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---
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base_model:
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- garage-bAInd/Platypus2-13B
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- psmathur/orca_mini_v3_13b
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library_name: transformers
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tags:
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- mergekit
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- merge
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---
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# merge
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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## Merge Details
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### Merge Method
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This model was merged using the SLERP merge method.
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### Models Merged
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The following models were included in the merge:
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* [garage-bAInd/Platypus2-13B](https://huggingface.co/garage-bAInd/Platypus2-13B)
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* [psmathur/orca_mini_v3_13b](https://huggingface.co/psmathur/orca_mini_v3_13b)
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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slices:
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- sources:
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- model: psmathur/orca_mini_v3_13b
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layer_range: [0, 40]
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- model: garage-bAInd/Platypus2-13B
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layer_range: [0, 40]
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# or, the equivalent models: syntax:
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# models:
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# - model: psmathur/orca_mini_v3_13b
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# - model: garage-bAInd/Platypus2-13B
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merge_method: slerp
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base_model: psmathur/orca_mini_v3_13b
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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 # fallback for rest of tensors
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dtype: float16
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```
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config.json
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{
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"_name_or_path": "psmathur/orca_mini_v3_13b",
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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": 5120,
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"initializer_range": 0.02,
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"intermediate_size": 13824,
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"max_position_embeddings": 4096,
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"model_type": "llama",
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"num_attention_heads": 40,
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"num_hidden_layers": 40,
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"num_key_value_heads": 40,
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"pad_token_id": 0,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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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": "float16",
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"transformers_version": "4.39.3",
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"use_cache": true,
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"vocab_size": 32000
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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: psmathur/orca_mini_v3_13b
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layer_range: [0, 40]
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- model: garage-bAInd/Platypus2-13B
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layer_range: [0, 40]
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# or, the equivalent models: syntax:
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# models:
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# - model: psmathur/orca_mini_v3_13b
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# - model: garage-bAInd/Platypus2-13B
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merge_method: slerp
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base_model: psmathur/orca_mini_v3_13b
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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 # fallback for rest of tensors
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dtype: float16
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model-00001-of-00003.safetensors
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model.safetensors.index.json
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special_tokens_map.json
ADDED
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{
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},
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"eos_token": {
|
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"content": "</s>",
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"unk_token": {
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}
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tokenizer.json
ADDED
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tokenizer.model
ADDED
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+
version https://git-lfs.github.com/spec/v1
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oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
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size 499723
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tokenizer_config.json
ADDED
@@ -0,0 +1,39 @@
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"2": {
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|
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|
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|
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|
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": "<unk>",
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|
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}
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