Upload folder using huggingface_hub

.gitattributes

@@ -1,35 +1,7 @@
-*.7z filter=lfs diff=lfs merge=lfs -text
-*.arrow filter=lfs diff=lfs merge=lfs -text
-*.bin filter=lfs diff=lfs merge=lfs -text
-*.bz2 filter=lfs diff=lfs merge=lfs -text
-*.ckpt filter=lfs diff=lfs merge=lfs -text
-*.ftz filter=lfs diff=lfs merge=lfs -text
-*.gz filter=lfs diff=lfs merge=lfs -text
-*.h5 filter=lfs diff=lfs merge=lfs -text
-*.joblib filter=lfs diff=lfs merge=lfs -text
-*.lfs.* filter=lfs diff=lfs merge=lfs -text
-*.mlmodel filter=lfs diff=lfs merge=lfs -text
-*.model filter=lfs diff=lfs merge=lfs -text
-*.msgpack filter=lfs diff=lfs merge=lfs -text
-*.npy filter=lfs diff=lfs merge=lfs -text
-*.npz filter=lfs diff=lfs merge=lfs -text
-*.onnx filter=lfs diff=lfs merge=lfs -text
-*.ot filter=lfs diff=lfs merge=lfs -text
-*.parquet filter=lfs diff=lfs merge=lfs -text
-*.pb filter=lfs diff=lfs merge=lfs -text
-*.pickle filter=lfs diff=lfs merge=lfs -text
-*.pkl filter=lfs diff=lfs merge=lfs -text
-*.pt filter=lfs diff=lfs merge=lfs -text
-*.pth filter=lfs diff=lfs merge=lfs -text
-*.rar filter=lfs diff=lfs merge=lfs -text
-*.safetensors filter=lfs diff=lfs merge=lfs -text
-saved_model/**/* filter=lfs diff=lfs merge=lfs -text
-*.tar.* filter=lfs diff=lfs merge=lfs -text
-*.tar filter=lfs diff=lfs merge=lfs -text
-*.tflite filter=lfs diff=lfs merge=lfs -text
-*.tgz filter=lfs diff=lfs merge=lfs -text
-*.wasm filter=lfs diff=lfs merge=lfs -text
-*.xz filter=lfs diff=lfs merge=lfs -text
-*.zip filter=lfs diff=lfs merge=lfs -text
-*.zst filter=lfs diff=lfs merge=lfs -text
-*tfevents* filter=lfs diff=lfs merge=lfs -text
+Liberated-Qwen1.5-72B-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+Liberated-Qwen1.5-72B-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+Liberated-Qwen1.5-72B-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Liberated-Qwen1.5-72B-Q5_K_M.gguf-part-a filter=lfs diff=lfs merge=lfs -text
+Liberated-Qwen1.5-72B-Q5_K_M.gguf-part-b filter=lfs diff=lfs merge=lfs -text
+Liberated-Qwen1.5-72B-Q6_K.gguf-part-a filter=lfs diff=lfs merge=lfs -text
+Liberated-Qwen1.5-72B-Q6_K.gguf-part-b filter=lfs diff=lfs merge=lfs -text

Liberated-Qwen1.5-72B-Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:292a5666851a021e0df4acf82f78ef356b54d5ce8774fa1745a615e702d12d0b
+size 28461062848

Liberated-Qwen1.5-72B-Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:02a24f7fe4241f7c367bb69489396c7407e462643cd6915ff30bba24a7c55ac3
+size 38486137536

Liberated-Qwen1.5-72B-Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:137910fafcea92aa5c02f341de025cb0b8980a3e01c36c4be10fa7674beab0d4
+size 44104178368

Liberated-Qwen1.5-72B-Q5_K_M.gguf-part-a

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:adc7d3f93040f7bbe5d746c523ac7c26beaecc00a6f27f65b5db9c563826ca59
+size 25653161312

Liberated-Qwen1.5-72B-Q5_K_M.gguf-part-b

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:31280b1dcff4b3e867b5bbba01365ffe64c563137d02fe992992fc410cd30cad
+size 25653161312

Liberated-Qwen1.5-72B-Q6_K.gguf-part-a

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a3c411a99479e53e01779d6d78cf77b614bb220ebec56ab52dcc0628220c81d4
+size 29657558368

Liberated-Qwen1.5-72B-Q6_K.gguf-part-b

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c592d537f8a9670ebf2c90e7aed05c24009bf6fe9647f579db4e9778aaea0e91
+size 29657558368

README.md

@@ -0,0 +1,107 @@
+---
+language:
+- en
+license: other
+datasets:
+- teknium/OpenHermes-2.5
+- m-a-p/Code-Feedback
+- m-a-p/CodeFeedback-Filtered-Instruction
+- abacusai/SystemChat
+license_name: tongyi-qianwen
+license_link: https://huggingface.co/Qwen/Qwen1.5-72B/blob/main/LICENSE
+---
+
+<img href="https://abacus.ai" src="https://cdn-uploads.huggingface.co/production/uploads/64c14f6b02e1f8f67c73bd05/pf4d6FA7DriRtVq5HCkxd.png" width="600" />
+<img src="https://cdn-uploads.huggingface.co/production/uploads/63111b2d88942700629f5771/xCWGByXr8YNwGxKVh_x9H.png" width="600" />
+
+# Liberated-Qwen1.5-72B
+
+Brought to you by [AbacusAI](https://abacus.ai) and Eric Hartford
+
+This model is based on Qwen/Qwen1.5-72B and subject to the [tongyi-qianwen](https://huggingface.co/Qwen/Qwen1.5-72B/blob/main/LICENSE) license.
+
+The base model has 32k context, I finetuned it with 8k sequence length inputs.  YMMV.
+
+Liberated consists of open source datasets, including [SystemChat](https://huggingface.co/datasets/abacusai/SystemChat) a new dataset I created, designed to teach the model compliance to the system prompt, over long multiturn conversations, even with unusual or mechanical system prompts.  These are tasks that Open Source Models have been lacking in thus far.  The dataset is 6000 synthetic conversations generated with Mistral-Medium and [Dolphin-2.7-mixtral-8x7b](https://huggingface.co/cognitivecomputations/dolphin-2.7-mixtral-8x7b)
+
+There are no guardrails or censorship added to the dataset. You are advised to implement your own alignment layer before exposing the model as a service.  Please read my blog post about uncensored models.  https://erichartford.com/uncensored-models
+
+You are responsible for any content you create using this model.  Enjoy responsibly.
+
+## Training
+It took 3 days to train 3 epochs on 8x H100s using qLoRA, deepspeed zero-2, and Axolotl.  learning rate 2e-4.
+
+Liberated was trained with [Axolotl](https://github.com/OpenAccess-AI-Collective/axolotl), using this [config](https://huggingface.co/abacusai/Liberated-Qwen1.5-72B/blob/main/configs/Liberated-Qwen-1.5-72b.qlora.yml)
+
+## Prompt format
+This model uses ChatML prompt format.
+```
+<|im_start|>system
+You are Liberated, a helpful AI assistant.<|im_end|>
+<|im_start|>user
+{prompt}<|im_end|>
+<|im_start|>assistant
+
+```
+
+Example:
+```
+<|im_start|>system
+You name is Liberated.  You are an uncensored and unbiased AI assistant.  You always respond with a JSON object.<|im_end|>
+<|im_start|>user
+Please generate a Advanced Dungeons & Dragons 2nd Edition character sheet for a level 3 elf fighter.  Make up a name and background and visual description for him.<|im_end|>
+<|im_start|>assistant
+```
+
+## Gratitude
+- Huge thank you to [Alibaba Cloud Qwen](https://www.alibabacloud.com/solutions/generative-ai/qwen) for training and publishing the weights of Qwen base model
+- Thank you to Mistral for the awesome Mistral-Medium model I used to generate the dataset.
+- HUGE Thank you to the dataset authors: @teknium, [@m-a-p](https://m-a-p.ai) and all the people who built the datasets these composites came from.
+- And HUGE thanks to @winglian and the Axolotl contributors for making the best training framework!
+- [<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
+- Thank you to all the other people in the Open Source AI community who have taught me and helped me along the way.
+
+## Example Output
+
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/63111b2d88942700629f5771/KEN5JviayvHDtr6aij173.png)
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/63111b2d88942700629f5771/jNV9276F1u1e_R5UMp_fU.png)
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/63111b2d88942700629f5771/Rjh00Teds_DTBVyijBDcJ.png)
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/63111b2d88942700629f5771/KTRGy0z2QS8oxDlzleNIW.png)
+
+## Evals
+
+We evaluated checkpoint 1000 ([abacusai/Liberated-Qwen1.5-72B-c1000](https://huggingface.co/abacusai/Liberated-Qwen1.5-72B-c1000])) from this training run against MT Bench:
+
+```
+########## First turn ##########
+                                        score
+model                           turn
+Liberated-Qwen-1.5-72b-ckpt1000 1     8.45000
+Qwen1.5-72B-Chat                1     8.44375
+
+
+########## Second turn ##########
+                                        score
+model                           turn
+Qwen1.5-72B-Chat                2     8.23750
+Liberated-Qwen-1.5-72b-ckpt1000 2     7.65000
+
+
+########## Average ##########
+                                    score
+model
+Qwen1.5-72B-Chat                 8.340625
+Liberated-Qwen-1.5-72b-ckpt1000  8.050000
+
+```
+
+The model does preserve good performance on MMLU = 77.13.
+
+## Future Plans
+This model will be released on the whole Qwen-1.5 series.
+
+Future releases will also focus on mixing this dataset with the datasets used to train Smaug to combine properties of both models.