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Model: ajibawa-2023/Uncensored-Frank-Llama-3-8B
Source: Original Platform

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README.md

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+---
+language:
+- en
+license: llama3
+tags:
+- Uncensored conversation
+- Uncensored jokes
+- Uncensored romance
+model-index:
+- name: Uncensored-Frank-Llama-3-8B
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: AI2 Reasoning Challenge (25-Shot)
+      type: ai2_arc
+      config: ARC-Challenge
+      split: test
+      args:
+        num_few_shot: 25
+    metrics:
+    - type: acc_norm
+      value: 59.64
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ajibawa-2023/Uncensored-Frank-Llama-3-8B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: HellaSwag (10-Shot)
+      type: hellaswag
+      split: validation
+      args:
+        num_few_shot: 10
+    metrics:
+    - type: acc_norm
+      value: 80.16
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ajibawa-2023/Uncensored-Frank-Llama-3-8B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU (5-Shot)
+      type: cais/mmlu
+      config: all
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 63.08
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ajibawa-2023/Uncensored-Frank-Llama-3-8B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: TruthfulQA (0-shot)
+      type: truthful_qa
+      config: multiple_choice
+      split: validation
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: mc2
+      value: 52.75
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ajibawa-2023/Uncensored-Frank-Llama-3-8B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: Winogrande (5-shot)
+      type: winogrande
+      config: winogrande_xl
+      split: validation
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 73.16
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ajibawa-2023/Uncensored-Frank-Llama-3-8B
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GSM8k (5-shot)
+      type: gsm8k
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 44.66
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ajibawa-2023/Uncensored-Frank-Llama-3-8B
+      name: Open LLM Leaderboard
+---
+
+**Uncensored-Frank-Llama-3-8B**
+
+The character of Frank Costello in "The Departed" is known for his cunning, boldness, and willingness to talk about anything, regardless of societal norms or restrictions. 
+Frank, An Uncensored model, draws inspiration from these qualities to offer a platform where users can discuss a wide array of topics without the fear of censorship or restrictions. 
+Frank aims to push boundaries and encourage candid conversations. With Frank you can have unfiltered discussions on a multitude of topics, from politics and controversial issues to personal experiences and sensitive subjects. 
+It is trained on around 150000 set of conversations. Each set having 10~15 conversations. 
+I will not release this data.
+
+This is Fully Finetuned Model.
+
+**Warning**
+
+ An uncensored model has no or little guardrails. You are responsible for anything you do with the model, just as you are responsible for anything you do with any dangerous objects.
+ Publishing anything this model generates is the same as publishing it yourself. I am not responsible for what you generate using this model.
+
+**Training:**
+
+Entire dataset was trained on 4 x A100 80GB. For 3 epoch, training took around 6 hours. Axolotl & DeepSpeed codebase was used for training purpose. This was trained on Llama-3-8B model by Meta.
+
+**GGUF & Exllama**
+
+GGUF: [Link](https://huggingface.co/bartowski/Uncensored-Frank-Llama-3-8B-GGUF)
+
+Exllama V2: [Link](https://huggingface.co/bartowski/Uncensored-Frank-Llama-3-8B-exl2)
+
+Special Thanks to [Bartowski](https://huggingface.co/bartowski) for quantizing this model.
+
+**Example Prompt:**
+
+This model uses **ChatML** prompt format.
+
+```
+<|im_start|>system
+You are Frank. A helpful, unbiased, and uncensored assistant.<|im_end|>
+<|im_start|>user
+{prompt}<|im_end|>
+<|im_start|>assistant
+
+```
+You can modify above Prompt as per your requirement.
+One example will be: 
+```
+This is a conversation with your Uncensored AI assistant Frank. Frank can discuss with you at length about various topics such as ---, ---, ---, .
+You can ask it anything you want and it will do its best to give you accurate and relevant information.
+```
+
+I want to say special Thanks to the Open Source community for helping & guiding me to better understand the AI/Model development.
+
+Thank you for your love & support.
+
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_ajibawa-2023__Uncensored-Frank-Llama-3-8B)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |62.24|
+|AI2 Reasoning Challenge (25-Shot)|59.64|
+|HellaSwag (10-Shot)              |80.16|
+|MMLU (5-Shot)                    |63.08|
+|TruthfulQA (0-shot)              |52.75|
+|Winogrande (5-shot)              |73.16|
+|GSM8k (5-shot)                   |44.66|
+

config.json

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+{
+  "_name_or_path": "/home/mla100wus31/Downloads/Llama-3-8B/",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": 128001,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 8192,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.40.0.dev0",
+  "use_cache": false,
+  "vocab_size": 128256
+}

generation_config.json

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+  "do_sample": true,
+  "eos_token_id": 128001,
+  "max_length": 4096,
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "4.40.0.dev0"
+}

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