limin(gate)
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Browse files- README.md +72 -0
- config.json +26 -0
- mergekit_config.yml +23 -0
- model-00001-of-00002.safetensors +3 -0
- model-00002-of-00002.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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- starsnatched/MemGPT
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- liminerity/Mem-Beagle-7b-slerp-v1
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- starsnatched/MemGPT
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base_model:
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- starsnatched/MemGPT
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- liminerity/Mem-Beagle-7b-slerp-v1
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- starsnatched/MemGPT
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---
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# Mem-Beagle-7b-slerp-v2
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Mem-Beagle-7b-slerp-v2 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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* [starsnatched/MemGPT](https://huggingface.co/starsnatched/MemGPT)
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* [liminerity/Mem-Beagle-7b-slerp-v1](https://huggingface.co/liminerity/Mem-Beagle-7b-slerp-v1)
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* [starsnatched/MemGPT](https://huggingface.co/starsnatched/MemGPT)
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## 🧩 Configuration
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```yaml
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models:
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- model: starsnatched/MemGPT
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parameters:
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density: [1, 0.7, 0.1] # density gradient
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weight: 1.0
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- model: liminerity/Mem-Beagle-7b-slerp-v1
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parameters:
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density: 0.5
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weight: [0, 0.3, 0.7, 1] # weight gradient
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- model: starsnatched/MemGPT
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parameters:
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density: 0.33
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weight:
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- filter: mlp
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value: 0.5
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- value: 0
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merge_method: ties
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base_model: 222gate/Ingot-7b-slerp-7-forged-mirror
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parameters:
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normalize: true
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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 = "liminerity/Mem-Beagle-7b-slerp-v2"
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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": "222gate/Ingot-7b-slerp-7-forged-mirror",
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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": true,
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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: starsnatched/MemGPT
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parameters:
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density: [1, 0.7, 0.1] # density gradient
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weight: 1.0
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- model: liminerity/Mem-Beagle-7b-slerp-v1
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parameters:
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density: 0.5
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weight: [0, 0.3, 0.7, 1] # weight gradient
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- model: starsnatched/MemGPT
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parameters:
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density: 0.33
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weight:
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- filter: mlp
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value: 0.5
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- value: 0
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merge_method: ties
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base_model: 222gate/Ingot-7b-slerp-7-forged-mirror
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parameters:
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normalize: true
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int8_mask: true
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dtype: bfloat16
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model-00001-of-00002.safetensors
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size 9942981696
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version https://git-lfs.github.com/spec/v1
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model.safetensors.index.json
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tokenizer.model
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