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Browse files- README.md +37 -0
- config.json +28 -0
- mergekit_config.yml +18 -0
- model-00001-of-00007.safetensors +3 -0
- model-00002-of-00007.safetensors +3 -0
- model-00003-of-00007.safetensors +3 -0
- model-00004-of-00007.safetensors +3 -0
- model-00005-of-00007.safetensors +3 -0
- model-00006-of-00007.safetensors +3 -0
- model-00007-of-00007.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +29 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +83 -0
README.md
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---
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license: apache-2.0
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tags:
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- merge
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- mergekit
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- lazymergekit
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- defog/sqlcoder-7b-2
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- codellama/CodeLlama-7b-hf
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---
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# sqlllama
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sqlllama is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
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* [defog/sqlcoder-7b-2](https://huggingface.co/defog/sqlcoder-7b-2)
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* [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/CodeLlama-7b-hf)
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## 𧩠Configuration
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```yaml
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slices:
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- sources:
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- model: defog/sqlcoder-7b-2
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layer_range: [0, 32]
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- model: codellama/CodeLlama-7b-hf
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layer_range: [0, 32]
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merge_method: slerp
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base_model: codellama/CodeLlama-7b-hf
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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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config.json
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{
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"_name_or_path": "codellama/CodeLlama-7b-hf",
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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": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 11008,
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"max_position_embeddings": 16384,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 32,
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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": 1000000,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.38.1",
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"use_cache": true,
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"vocab_size": 32016
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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: defog/sqlcoder-7b-2
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layer_range: [0, 32]
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- model: codellama/CodeLlama-7b-hf
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layer_range: [0, 32]
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merge_method: slerp
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base_model: codellama/CodeLlama-7b-hf
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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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"β<EOT>"
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54 |
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"content": "β<EOT>",
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60 |
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61 |
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62 |
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63 |
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64 |
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65 |
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"β<EOT>"
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"eot_token": "β<EOT>",
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81 |
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83 |
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}
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