Init

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README.md

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 ---
+language:
+- en
+library_name: transformers
+pipeline_tag: text-generation
 license: apache-2.0
 ---
+
+<p><h1> speechless-zephyr-code-functionary-7b </h1></p>
+
+This model is the one of the moloras (Mixture-of-Multi-LoRAs) experiments.
+
+Extract LoRA modules from below models (all based Mistral-7B-v0.1), each LoRA module has its own unique skills. By using multi-loras, they can be combined together statically or dynamically to form a versatile new model.
+
+- HuggingFaceH4/zephyr-7b-beta (Uncensored Model)
+- meetkai/functionary-small-v2.2 (Execute functions/plugins)
+- uukuguy/speechless-code-mistral-7b-v1.0 (Enhance Coding)
+
+The entire process is completed through the use of extract-lora, merge-lora, and lora-hub provided by multi-loras.
+
+The router of mixture-of-multi-loras enables an automatic assembling of LoRA modules, using a gradientfree approach to obtain the coefficients of LoRA modules and requiring only a handful of inference steps for unseen tasks.
+
+Code: https://github.com/uukuguy/multi_loras
+
+## LM-Evaluation-Harness
+
+[Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+
+| Metric | Value |
+| --- | --- |
+| ARC |  |
+| HellaSwag |  |
+| MMLU |  |
+| TruthfulQA |  |
+| Winogrande |  |
+| GSM8K |  |
+| Average |  |
+

config.json

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+{
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+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.36.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

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