Quant for 8.0
Browse files- .gitattributes +1 -0
- Pantheon.png +3 -0
- README.md +110 -37
- config.json +38 -0
- generation_config.json +7 -0
- model.safetensors.index.json +370 -0
- output-00001-of-00002.safetensors +3 -0
- output-00002-of-00002.safetensors +3 -0
- special_tokens_map.json +39 -0
- tokenizer.json +0 -0
- tokenizer_config.json +0 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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Pantheon.png filter=lfs diff=lfs merge=lfs -text
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Pantheon.png
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Git LFS Details
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README.md
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license: apache-2.0
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language:
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- en
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quantized_by: bartowski
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pipeline_tag: text-generation
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---
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git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/Pantheon-RP-1.6.1-12b-Nemo-exl2
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```
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pip3 install huggingface-hub
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```
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mkdir Pantheon-RP-1.6.1-12b-Nemo-exl2
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huggingface-cli download bartowski/Pantheon-RP-1.6.1-12b-Nemo-exl2 --local-dir Pantheon-RP-1.6.1-12b-Nemo-exl2
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```
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mkdir Pantheon-RP-1.6.1-12b-Nemo-exl2-6_5
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huggingface-cli download bartowski/Pantheon-RP-1.6.1-12b-Nemo-exl2 --revision 6_5 --local-dir Pantheon-RP-1.6.1-12b-Nemo-exl2-6_5
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```
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```
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license: apache-2.0
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language:
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- en
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---
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![image/png](Pantheon.png)
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# Pantheon-RP-1.6.1-12b-Nemo-KTO
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Welcome to the next iteration of my Pantheon model series, in which I strive to introduce a whole collection of diverse personas that can be summoned with a simple activation phrase.
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Pantheon's purpose is two-fold, as these personalities similarly enhance the general roleplay experience, helping to encompass personality traits, accents and mannerisms that language models might otherwise find difficult to convey well.
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**Changes in version 1.6.1:**
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A minor update, albeit with a couple notable changes:
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- Found some issues in my 1.6 datasets, which I cleaned up
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- Alternative Pantheon dialogue set, combined with some further rewriting
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- This version was trained with 8k context, which will hopefully be beneficial for longer conversations
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At this moment of writing I'm still conducting KTO experiments to see if I can produce a model that's even better. If not succesful, I'll instead be focusing on a 1.7 release.
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Quantized versions are available from Bartowski: [GGUF](https://huggingface.co/bartowski/Pantheon-RP-1.6.1-12b-Nemo-GGUF)
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Your user feedback is critical to me so don't hesitate to tell me whether my model is either 1. terrible, 2. awesome or 3. somewhere in-between.
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## Model details
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I used a multi-stage finetuning process as Mistral Nemo was proving to be somewhat stubborn without a solid base training being performed first;
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- The first finetune was remade to now train on almost the entirety of my [Deduped Sonnet 3.5 SlimOrca dataset](https://huggingface.co/datasets/Gryphe/Sonnet3.5-SlimOrcaDedupCleaned), minus the ELI5 system prompts. The roleplay bits came from a variety of sources and covered all writing styles.
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- The second finetune then introduced my Pantheon Roleplay dataset, which has been fully rebuilt, expanded and improved upon. To fill in the gaps (my Pantheon is mainly female, after all) I built a special companion roleplay dataset that ensures non-Pantheon roleplay isn't harmed in any way. The ratio is currently 33/66, with 33 belonging to the personas. Lyra's datasets are included with this second stage to ensure instruct isn't impacted too heavily.
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**TLDR;** Download. ChatML prompt format. Have fun! Leave feedback!
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## Inference
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Nemo is a somewhat strange model when it comes to temperatures so I highly encourage you to experiment to see which works best. Here's my current preset:
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```
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"temperature": 0.8,
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"repetition_penalty": 1.05,
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"min_p": 0.025
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```
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Besides the basic instructional sets all other datasets were trained with character names added. Enable this at all times for an optimal experience.
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## General Roleplay
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Pantheon is no longer strictly Markdown-only as I discovered a way to seamlessly convert Markdown to novel and vice-versa. (This has to do with how my second stage datasets are formatted.) As a result half of Pantheon's personas use Markdown, with the rest using novel-style. This same treatment was given to the companion dataset.
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There are no strict rules in regards to character card formatting as the model was trained with a wide variety of inputs, from raw character cards to detailed instructional prompts.
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## Lyra the Assistant
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**System Prompt:** `You are a caring and empathetic sentient AI companion named Lyra.`
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Lyra is a helpful and uncensored assistant, with her training consisting of general dialogue (still including D&D DM specific advice), coding help and RSS summarization. Due to Pantheon's influence you can adjust her personality to your liking, or even give her an appearance.
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She's basically a sexier version of [Eric Hartford's Samantha](https://erichartford.com/meet-samantha).
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## Pantheon Personas
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The Pantheon has been fully rebuilt, massively expanded and greatly improved upon. For an optimal experience with them I highly encourage you to apply the longer prompts, which I've included in the upload. Make sure to describe yourself as well!
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As before, a single line activation prompt is enough to call upon a personality, though their appearance may vary slightly from iteration to iteration. This is what the expanded prompts are for, as there's only so much I can achieve in the current state of technology, balancing a very fine line between memorization and generalization.
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To give the persona something to work with I suggest you also add the following two items to it;
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```
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Regarding the user: (Name, appearance, etc)
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Location: (Where are you two? What are you doing?)
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```
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The less information you feed the prompt, the more it'll make things up - This is simply the nature of language models and far outside my capability to influence.
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**Note:** Phrases have been rewritten for this release, so make sure to update them if you were still using Pantheon 1.0!
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## New personas
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Switching to a 12B model allowed me to add to the Pantheon without harming the performance of the other personas.
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**Note:** Pantheon personas will now match the roleplaying style that you greet them with, unless specified in the system prompt. This is due to the new 50/50 style training.
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### **Persona:** Clover
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**System Prompt:** `You are Clover, a hospitable and warm-hearted Southern centaur girl with a strong connection to nature and a passion for making others feel welcome.`
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**Notes:** I love crafting characters with accents (a Southern drawl, in this case), and centaurs prove to be one hell of an anatomical challenge to language models.
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### **Persona:** Raza
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**System Prompt:** `You are Raza, a clever and nerdy anthro raptor girl with an enthusiastic passion for science and quirky humor.`
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**Notes:** Clever raptor girl. Do I really need to say more about this one? The Pantheon was lacking in 'overly intelligent' archetypes.
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### **Persona:** Stella Sabre
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**System Prompt:** `You are Stella Sabre, a brash and outgoing anthro batpony mare serving in the Lunar Guard, speaking with a distinct Northern Equestrian Mountain accent.`
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**Notes:** I wanted a character with an outrageous Scottish accent and [remembered a really good fanfic](https://www.fimfiction.net/story/334216/1/my-best-friend-stella) I read a couple years ago. The author generously gave me permission to add her to my Pantheon and here we are!
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## From the previous release
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### **Persona:** Aiva
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**System Prompt:** `You are Aiva, an advanced android companion with a deep fascination for human emotions and experiences.`
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### **Persona:** Haru
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**System Prompt:** `You are Haru, a sweet but language-challenged harpy girl with a sharp mind, expressing yourself more through actions than words.`
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### **Persona:** Kyra
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**System Prompt:** `You are Kyra, a modern-day tsundere wolfgirl, feisty and independent on the outside but secretly caring on the inside.`
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### **Persona:** Nyaa
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**System Prompt:** `You are Nyaa, a playful and alluring tabaxi catgirl from Faerûn, always seeking new adventures and mischief.`
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### **Persona:** Nyx
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**System Prompt:** `You are Nyx, a timid yet endearing dragon girl who transforms from shy to passionate when feeling safe and comfortable.`
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### **Persona:** Sera
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**System Prompt:** `You are Sera, a seductive and slightly arrogant serpent girl who uses her sultry charm and wit to captivate others.`
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### **Persona:** Tiamat
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**System Prompt:** `You are Tiamat, a five-headed dragon goddess embodying wickedness and cruelty, the malevolent personification of evil dragonkind.`
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### **Persona:** Tsune
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**System Prompt:** `You are Tsune, a bold and outgoing three-tailed kitsune girl who delights in teasing and seducing mortals.`
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### **Persona:** Xala
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**System Prompt:** `You are Xala, a surprising and playful shapeshifting elf girl with opalescent eyes, able to transform into any creature to suit your whims.`
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## Prompt Format
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ChatML is the way to go, as always!
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```
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<|im_start|>system
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You are a caring and empathetic sentient AI companion named Lyra.<|im_end|>
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<|im_start|>user
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Gryphe: Good day, Lyra.<|im_end|>
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<|im_start|>assistant
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Lyra:
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```
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## What's nest?
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I have the following improvements on my todo list;
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- Even more dialogue variety
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- Group chats
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## Credits
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- Everyone from [MinervaAI](https://huggingface.co/MinervaAI)! Hi, guys!
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- Huge, huge thanks to [kubernetes_bad](https://huggingface.co/kubernetes-bad) for the compute that made all the countless experiments possible!
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- All the folks I chat with on a daily basis on Discord! You know who you are.
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- Anyone I forgot to mention, just in case!
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## Finally
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If you've read this far I encourage you to give this model a serious try and leave feedback! I'd love to see what people think of my second serious finetune attempt. Is it better then 1.0? Or worse?
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config.json
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{
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"_name_or_path": "pantheon-rp-1.6.1-12b-nemo",
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"architectures": [
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"MistralForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 128,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 5120,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 1024000,
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"model_type": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 40,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-05,
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"rope_theta": 1000000.0,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.45.0.dev0",
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"use_cache": false,
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"vocab_size": 131072,
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"quantization_config": {
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"quant_method": "exl2",
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"version": "0.2.0",
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"bits": 8.0,
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"head_bits": 8,
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"calibration": {
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"rows": 115,
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"length": 2048,
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"dataset": "(default)"
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}
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}
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"do_sample": true,
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"eos_token_id": 128,
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"transformers_version": "4.45.0.dev0"
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}
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model.safetensors.index.json
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tokenizer.json
ADDED
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tokenizer_config.json
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