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README.md ADDED
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+ ---
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+ base_model:
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+ - stabilityai/stablelm-zephyr-3b
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+ - Fischerboot/stablelm-zephyr-3b-freedomrp-qlora-adapter-model
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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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+ ---
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+ # merge
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+
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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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+
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+ ## Merge Details
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+ ### Merge Method
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+
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+ This model was merged using the passthrough merge method.
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+
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+ ### Models Merged
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+
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+ The following models were included in the merge:
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+ * [stabilityai/stablelm-zephyr-3b](https://huggingface.co/stabilityai/stablelm-zephyr-3b) + [Fischerboot/stablelm-zephyr-3b-freedomrp-qlora-adapter-model](https://huggingface.co/Fischerboot/stablelm-zephyr-3b-freedomrp-qlora-adapter-model)
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+
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+ ### Configuration
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+
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+ The following YAML configuration was used to produce this model:
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+
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+ ```yaml
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+ models:
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+ - model: stabilityai/stablelm-zephyr-3b+Fischerboot/stablelm-zephyr-3b-freedomrp-qlora-adapter-model
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+ merge_method: passthrough
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+ dtype: bfloat16
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+ ```
config.json ADDED
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+ {
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+ "_name_or_path": "stabilityai/stablelm-zephyr-3b",
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+ "architectures": [
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+ "StableLmForCausalLM"
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+ ],
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+ "attention_dropout": 0.0,
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+ "bos_token_id": 0,
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+ "eos_token_id": 0,
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+ "hidden_act": "silu",
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+ "hidden_size": 2560,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 6912,
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+ "layer_norm_eps": 1e-05,
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+ "max_position_embeddings": 4096,
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+ "model_type": "stablelm",
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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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+ "partial_rotary_factor": 0.25,
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+ "qk_layernorm": false,
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+ "rope_scaling": null,
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+ "rope_theta": 10000,
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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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+ "use_parallel_residual": false,
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+ "use_qkv_bias": false,
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+ "vocab_size": 50304
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+ }
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+ models:
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+ - model: stabilityai/stablelm-zephyr-3b+Fischerboot/stablelm-zephyr-3b-freedomrp-qlora-adapter-model
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+ merge_method: passthrough
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+ dtype: bfloat16
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+ "bos_token": "<|endoftext|>",
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+ "chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
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+ "clean_up_tokenization_spaces": true,
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+ "eos_token": "<|endoftext|>",
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+ "model_max_length": 2048,
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+ "pad_token": "<|endoftext|>",
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+ "tokenizer_class": "GPTNeoXTokenizer",
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+ "unk_token": "<|endoftext|>"
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+ }