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README.md

@@ -1,37 +1,3 @@
----
-license: llama2
----
-## Exllama v2 Quantizations of MegaDolphin120b
-
-Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.11">turboderp's ExLlamaV2 v0.0.11</a> for quantization.
-
-# The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)
-
-Join Our Discord! https://discord.gg/vT3sktQ3zb 
-
-Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.
-
-Conversion was done using the default calibration dataset.
-
-Default arguments used.
-
-Original model: https://huggingface.co/cognitivecomputations/MegaDolphin-120b
-
-
-<a href="https://huggingface.co/kearm/MegaDolphin-120b-exl2/tree/6_5">6.5 bits per weight</a>
-
-<a href="https://huggingface.co/kearm/MegaDolphin-120b-exl2/tree/4">4 bits per weight</a>
-
-<a href="https://huggingface.co/kearm/MegaDolphin-120b-exl2/tree/3">3 bits per weight</a>
-
-<a href="https://huggingface.co/kearm/MegaDolphin-120b-exl2/tree/2">2 bits per weight</a>
-
-Credit to Bartowski for help and model card formatting
-
-![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/655dc641accde1bbc8b41aec/iToMZFTp1DuXnpw9oJ61y.jpeg)
-
-## Original Model Card Below
-
 ---
 datasets:
 - ehartford/dolphin
@@ -44,11 +10,8 @@ license: llama2
 ---
 
 MegaDolphin 2.2 120b 🐬
-
 https://erichartford.com/dolphin
 
-Sponsored by https://abacus.ai/
-
 Join Our Discord! https://discord.gg/vT3sktQ3zb 
 
 <img src="https://cdn-uploads.huggingface.co/production/uploads/63111b2d88942700629f5771/sV83aS8D7ElvoeKD3KzVO.png" width="600" />
@@ -57,12 +20,8 @@ MegaDolphin-2.2-120b is a transformation of Dolphin-2.2-70b
 
 It was inspired by [Venus-120b](https://huggingface.co/nsfwthrowitaway69/Venus-120b-v1.2) and uses the same method of interleaving a model with itself.
 
-New in 2.2 is conversation and empathy. With an infusion of curated Samantha and WizardLM DNA, Dolphin can now give you personal advice and will care about your feelings, and with extra training in long multi-turn conversation.
-
-This model is uncensored. I have filtered the dataset to remove alignment and bias. This makes the model more compliant. You are advised to implement your own alignment layer before exposing the model as a service. It will be highly compliant to any requests, even unethical ones. 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.
-
 ## Merge Details
-It took like 5 minutes to make this with [Charles Goddard](https://huggingface.co/chargoddard)'s awesome [MergeKit](https://github.com/cg123/mergekit).
+It took like 5 minutes to make this with Charles Goddard's awesome MergeKit.
 
 Prompt format:
 This model uses ChatML prompt format.
@@ -127,7 +86,7 @@ slices:
 ## ollama Modelfile
 ```
 $ cat Modelfile.megadolphin
-FROM ./megadolphin-120b.Q4_0.gguf
+FROM ./megadolphin-120b-v1.2.Q4_0.gguf
 TEMPLATE """<|im_start|>system
 {{ .System }}<|im_end|>
 <|im_start|>user
@@ -140,7 +99,6 @@ PARAMETER stop "<|im_end|>"
 ```
 
 ## Gratitude
-- Thanks to https://abacus.ai/ for sponsoring this work
 - Thanks to Charles Goddard for [MergeKit](https://github.com/cg123/mergekit)
 - Thank you to Microsoft for authoring the Orca paper and inspiring this work.
 - Thank you to all the other people in the Open Source AI community who have taught me and helped me along the way.
@@ -321,8 +279,19 @@ And there you have it! With a bit of practice and showmanship, this simple trick
 their heads in wonderment! Remember, magic is all about misdirection and sleight of hand – so practice those skills until
 they're as smooth as pulling a rabbit out of a hat!
 
+[ko-fi](https://www.ko-fi.com/erichartford)gical part! Pick up the top card (AS), show it's not the selected card, and place it back
+on top of the pile, but secretly peek at the next card (AD) as you do so. Repeat this process with the second (AD) and
+third (AH) cards, secretly peeking at each revealed card while pretending to show they're not the selected card either.
+
+5. The Big Finish: After showing all three face-down cards are not the chosen Ace, turn over the bottom card (AC),
+revealing it to be the spectator's selected "Hearts" Ace! Ta-da!
+
+And there you have it! With a bit of practice and showmanship, this simple trick will leave your audience scratching
+their heads in wonderment! Remember, magic is all about misdirection and sleight of hand – so practice those skills until
+they're as smooth as pulling a rabbit out of a hat!
+
 ## Support
 - [Buy me a coffee at ko-fi](https://www.ko-fi.com/erichartford)
 - BTC - 3ENBV6zdwyqieAXzZP2i3EjeZtVwEmAuo4
 - ETH - 0xcac74542A7fF51E2fb03229A5d9D0717cB6d70C9
-- [Buy you a t-shirt](https://fa7113.myshopify.com/)
+- [Buy you a t-shirt](https://fa7113.myshopify.com/)

added_tokens.json

@@ -0,0 +1,4 @@
+{
+  "<|im_end|>": 32000,
+  "<|im_start|>": 32001
+}

config.json

@@ -0,0 +1,29 @@
+{
+  "_name_or_path": "cognitivecomputations/dolphin-2.2-70b",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 32000,
+  "hidden_act": "silu",
+  "hidden_size": 8192,
+  "initializer_range": 0.02,
+  "intermediate_size": 28672,
+  "max_position_embeddings": 4096,
+  "model_type": "llama",
+  "num_attention_heads": 64,
+  "num_hidden_layers": 140,
+  "num_key_value_heads": 8,
+  "pad_token_id": 0,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.36.2",
+  "use_cache": true,
+  "vocab_size": 32002
+}

huggingface-metadata.txt

@@ -0,0 +1,30 @@
+url: https://huggingface.co/cognitivecomputations/MegaDolphin-120b
+branch: main
+download date: 2024-01-10 18:09:46
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