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Model: arcee-ai/SEC-Calme-7B-Instruct Source: Original Platform
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*.7z filter=lfs diff=lfs merge=lfs -text
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README.md
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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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- arcee-ai/sec-mistral-7b-instruct-1.2-epoch
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- MaziyarPanahi/Calme-7B-Instruct-v0.2
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---
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# SEC-Calme-7B-Instruct
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SEC-Calme-7B-Instruct is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
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* [arcee-ai/sec-mistral-7b-instruct-1.2-epoch](https://huggingface.co/arcee-ai/sec-mistral-7b-instruct-1.2-epoch)
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* [MaziyarPanahi/Calme-7B-Instruct-v0.2](https://huggingface.co/MaziyarPanahi/Calme-7B-Instruct-v0.2)
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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: arcee-ai/sec-mistral-7b-instruct-1.2-epoch
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layer_range: [0, 32]
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- model: MaziyarPanahi/Calme-7B-Instruct-v0.2
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layer_range: [0, 32]
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merge_method: slerp
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base_model: arcee-ai/sec-mistral-7b-instruct-1.2-epoch
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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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config.json
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{
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"_name_or_path": "arcee-ai/sec-mistral-7b-instruct-1.2-epoch",
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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": 1000000.0,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.39.2",
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"use_cache": false,
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"vocab_size": 32000
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}
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configuration.json
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configuration.json
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{"framework": "pytorch", "task": "text-generation", "allow_remote": true}
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mergekit_config.yml
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mergekit_config.yml
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slices:
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- sources:
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- model: arcee-ai/sec-mistral-7b-instruct-1.2-epoch
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layer_range: [0, 32]
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- model: MaziyarPanahi/Calme-7B-Instruct-v0.2
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layer_range: [0, 32]
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merge_method: slerp
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base_model: arcee-ai/sec-mistral-7b-instruct-1.2-epoch
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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
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{
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tokenizer.json
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tokenizer_config.json
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{
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"add_bos_token": true,
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"eos_token": "</s>",
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"legacy": true,
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"unk_token": "<unk>",
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}
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