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Model: uukuguy/speechless-zephyr-code-functionary-7b
Source: Original Platform

.gitattributes

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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>
+
+[4,5,8-bit GGUF models for CPU+GPU inference](https://huggingface.co/uukuguy/speechless-zephyr-code-functionary-7b/tree/main/GGUF)
+
+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 | 61.52 |
+| HellaSwag | 83.88 |
+| MMLU | 64.71 |
+| TruthfulQA | 44.99 |
+| Winogrande | 78.69 |
+| GSM8K | 43.82 |
+| Average | 62.93 |
+

config.json

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+{
+  "_name_or_path": "/opt/local/llm_models/huggingface.co/mistralai/Mistral-7B-v0.1",
+  "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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special_tokens_map.json

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+{
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+}

tokenizer_config.json

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+{
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+  "add_eos_token": false,
+  "added_tokens_decoder": {
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+  "legacy": true,
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+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}