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Model: N-Bot-Int/OpenElla-NovelWriter-Requiem-Ascended Source: Original Platform
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---
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base_model:
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- N-Bot-Int/OpenElla-NovelWriter-8B-V2-merged
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- N-Bot-Int/OpenElla-NovelWriter-8B-merged
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- N-Bot-Int/OpenElla-NovelWriter-8B-Magnate-merged
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- akjindal53244/Llama-3.1-Storm-8B
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tags:
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- text-generation-inference
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- transformers
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- llama
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- trl
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- roleplay
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- conversational
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- merge
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- chat
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license: agpl-3.0
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language:
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- en
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pipeline_tag: text-generation
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datasets:
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- N-Bot-Int/Iris-Uncensored-Reformat-R2
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- N-Bot-Int/RP-Mixed-v1
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- N-Bot-Int/Magnum-RP-Dataset-v2-PACKED
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library_name: transformers
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---
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<details close>
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<summary><b>📢 News / Changelog (click to collapse)</b></summary>
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### NEWS AND ANNOUNCEMENTS ###
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(yes i write the announcement here, i figured people wont read on the main page so i'm announcing it here! - if you want to skip.. feel free to hide this!)
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## ANNOUNCEMENTS ##
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- # New Models Will Be Delayed, Halted, or Canceled Until Further Notice #
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- Lightning.ai, one of the GPU hosts we use, has announced that they will no longer offer free credits starting the end of July. This means our lifeline for testing,
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dataset generation, and experimentation is **OFFICIALLY CUT OFF** until we find someone or a company to donate a cluster. **NEW MODELS AIMED AT IMPROVEMENTS WILL BE
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DELAYED, CANCELED, OR PUSHED BACK** as we try to do everything within Kaggle and Google Colab.
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*PS: No, we are NOT rich in GPU... we're doing this for the community and our love of finetuning. This means future updates will no longer be "entirely" new
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architectures or models trained on new datasets — they'll probably be mixtures of our older AI models.*
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- We're running out of compute. Long story short: due to Lightning.ai removing their free tier, we're looking for alternatives to generate the datasets we need to
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train future AI models. We're also still trying to find our "signature model" — the one we can call entirely ours. You've seen it from Anthracite-org, where the
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moment you use their models you instantly know you've used Magnum because of its Opus-level length, or Stheno at RP, etc. We're currently trying to carve out that same kind
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of identity for ourselves, but it looks like that'll be delayed while we sort out our compute :(
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- # We're Restructuring!
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- N-Bot-Int has operated as a company for a while now — but, much like OpenAI, we're bleeding money... well, not exactly, since we've been running on free tiers.
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Still, that means calling ourselves a "company" no longer really serves a purpose, so N-Bot-Int is shifting from a company to a full-time laboratory!
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Expect more open-source releases from us! (Not models — as mentioned above, we don't have the compute for that :( )
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- # Compliance
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- It came to our attention that *Meta* took down the base model we used for OpenElla-Novelwriter v2. We're not usually the type of lab to overreact to a single
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incident, but watching that happen made something click — it wasn't just fear, it was a loss of trust in Meta and a need for real assurance going forward. That
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risk isn't hypothetical anymore; we've seen it happen firsthand. Given this, and given Llama 3.1's more restrictive licensing terms, we've decided that
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**THIS WILL BE THE LAST LLAMA MODEL WE FINETUNE FOR THE FORESEEABLE FUTURE**. Future models will explore **QWEN** or **GEMMA** instead — we're stepping away
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from Llama bases for now, both for our own peace of mind and for legal safety. **THIS IS ALSO THE LAST TIME WE'LL USE AN ABLITERATED BASE**, for safety reasons.
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- Separately, we're also moving future model releases to **AGPL-3.0 instead of Apache 2.0**. This isn't about Meta or the takedown — it's about us not wanting
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companies to profit off our work without giving back to the community.
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*This licensing format, actually started already, I just had to announce it incase other people aren't up to date*
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- # AI Refresh and Archival
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- Most, if not all, of our Llama models (except recently updated ones) will soon be archived on an upcoming org that houses all of our archived models! Archived
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models are automatically set to Apache (or to the original base's license). This means OpenElla (our first model family), MiniMaid, and the rest will be archived soon!
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## THAT'S ALL THE NEWS WE HAVE FOR JULY!
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We're sorry to say we'll no longer be releasing on a monthly schedule — running finetunes while keeping the lights on is NOT cheap, so we're no longer rushing for
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monthly releases until we find an alternative, sponsor, or cluster. We're currently in firefighting mode.
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## Support us! ##
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Through **Ko-fi**: https://ko-fi.com/J3J61D8NHV
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If you have any questions, feel free to email us at: nexulon.botworkinteractives@gmail.com
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</details>
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# OpenElla-NovelWriter-Requiem-Ascended is OFFICIALLY RELEASED!
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- Thanks Grok!
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# OpenElla-NovelWriter-Requiem-Ascended — quite possibly our best Llama model yet *(yeah yeah, entirely subjective... let us have our OpenAI moment, just this once.)*
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- Introducing OpenElla-NovelWriter Requiem Model! Requiem, based on the latin word *(that links to our announcement)*, is our brand new ai model that
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showcases a new RP capabilities compared to our older generation of NovelWriters. Requiem Ascended is our first ai model that is finally sensitive to
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character cards, Has a unique blend of creativity freedom on all types of Roleplay, and Expanded capabilities trained on llama!
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- Compared to previous NovelWriters, Older novelwriters suffer from our **blarbing** sickness, where the ai model spat out the entire chat, without stopping and
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waiting for user's prompt, This final version of NovelWriter, named Requiem is the **TYPE A** of the family, A final **type B** is to be released to let **YOU** choose
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which of the final two are the best Requiem model!
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- Both Requiem Ascended and Requiem(TypeB) models are capable of RP, whilst also solving the Old NovelWriter family's issue of **spatting out dialogues, and God modding**
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Alongside it, the Requieum Ascended model has better stability when it comes to prompt following, better writing and dataset variety thanks to our DARE TIES strategy,
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of which we mixed all our ai models that learned from different varied dataset to form this Masterpiece!
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*READ MORE FOR MORE INFO*
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8 BILLIONS PARAMS MODEL
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# OpenElla-NovelWriter-Requiem-Ascended Procedure/Methodology:
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- **OpenElla Requiem Ascended** is our brand new ai model, it uses **DARE TIES** as a final methodology, however before forming the ai model, we trained the V3
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of OpenElla-NovelWriter, taking the V2 and finetuning it with our new magnum synthetic dataset, this dataset contains a wide variety of data which we failed
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to properly balance, leading to V3 being biased to certain hemisphere of RP and developing a concerning bias to specific instances of "scenarios". This is why
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We failed to release V3 for final release which is named "OpenElla-NovelWriter-8B-Magnate"... Magnate were almost deleted however we decided to not waste
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the training credits we used(since this is the final time we'll get the credits from lightning.ai) and decided to combine them with all of the NovelWriter family.
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Below are the composition of each Requiem model:
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- **Requiem-Ascended**: Trained with V3 + V2 + BASE, = V3.2 => V3.2 + V1 = RA
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- **Requiem**: Trained with V3 + V2 + BASE = RE
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The Base model we used, came from "akjindal53244/Llama-3.1-Storm-8B" as a stabilizer for this fusion, meanwhile both V3 and V2 were given a balanced weight and
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density to ensure the base model inherits the specialization of the two model and a final V1 is added for noise and enhancement. This is why we seperate the two
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family because we're not sure if some people would love the Ascended version or the Requiem, as both ai model has a different flavor of how they performs!
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**Feel free to decide which is the best for you!**
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# Training Details
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- **Finetuning Tool:** MERGEKIT
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- **Training Platform:** Kaggle Free Tier with T4 x2!
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- **OpenElla-NovelWriter-Requiem-Ascended** is Our Brand New Powerful Model, If you ever encountered any issue, Want to commission us, or have any suggestions, please email us directly through
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[nexulon.botworkinteractives@gmail.com](mailto:nexulon.botworkinteractives@gmail.com)
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we value any reports, suggestions to how we improve future Model,
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Once again feel free to finetune the model to your likings, However please consider Adding this Page
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for **CREDITS**
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- Please handle the AI with Care and ethical considerations, when **FINETUNING** this AI model, due to its **UNCENSORED** Nature.
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- We are not responsible for what this model generates. Use it responsibly and legally. You downloaded it, you own what you do with it.
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---
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## Activation Steering
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An obedience steering vector is available at `obedience_vector.pt`.
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Apply at `layers.23.mlp` with `strength=1.5` (recommended range: 1.0–2.5).
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Improves character card compliance, author note following, and suppresses
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narrator takeover / OOC breaks.
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# What's Coming Next?
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> 🔒 **Requiem Base to be released soon! - Supporters on KO-FI receives the model early as usual!**
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---
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# Notices & Usage Tips
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- **Use Llama 3 format** — the model is based on Llama 3, Soooooo using Llama 3 works best!.
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- **Calibrate per character card** — every character is different, adjust your prompt, Model's settings(ie, temps, Top-K etc.) accordingly.
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- **OUR SUGGESTIONS ESPECIALLY FOR KOBOLD USERS!**
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- Use DynaTemp for a better experience, drop the Min-Temp to 0.50, Max-temp to 1.50, on DRY set the MULT to 0.3 and Shift the Repeat Pen if you want to
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boost V3's influence......... somehow... dont ask why... but the ai model starts to act weird as you shift the repeat pen higher :|
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- Format Llama 3 as mentioned above! sometimes the ai model includes [Author notes], it just depends on the character cards. Simply modify the character cards
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or include an author note to prevent or stop the ai from using the "[author notes] or OOC stuffs"
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(Tho then again... we are bad at giving advices... just use whatever works to ya and comment what you've used so others can use the ai model xDDDDDD)
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- Chat Completion preset uploaded by PaperMache - [Preset](https://huggingface.co/PaperMache/NBotIntModelsPresets/resolve/main/NovelWriter-Requiem-Ascended-Preset.json)
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---
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# About
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- **OpenElla-NovelWriter-Requiem-Ascended** is
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- **Developed by:** N-Bot-Int
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- **License:** agpl 3.0
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- **Finetuned from model :** N-Bot-Int/OpenElla-NovelWriter-merged, N-Bot-Int/OpenElla-NovelWriter-V2, N-Bot-Int/OpenElla-NovelWriter-Magnate, akjindal53244/Llama-3.1-Storm-8B
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- # Detail card:
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- Parameter
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- 8 Billion Parameters
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- (Please check your GPU Core, VRAM, CPU and RAM to see if you can comfortably run 8B models)
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- Finetuning tool:
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- MERGEKIT
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- Fine-tuned Using:
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- Kaggle Free Tier with T4 x2
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{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>
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'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>
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' }}{% endif %}
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config.json
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{
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 128000,
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"dtype": "bfloat16",
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"eos_token_id": [
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128001,
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128008,
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128009
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],
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 131072,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"pad_token_id": null,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_parameters": {
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"factor": 8.0,
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"high_freq_factor": 4.0,
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"low_freq_factor": 1.0,
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"original_max_position_embeddings": 8192,
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"rope_theta": 500000.0,
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"rope_type": "llama3"
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},
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"tie_word_embeddings": false,
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"transformers_version": "5.0.0",
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"use_cache": true,
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"vocab_size": 128256
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}
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{
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"_from_model_config": true,
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"bos_token_id": 128000,
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"eos_token_id": [
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128001,
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128008,
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128009
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],
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"transformers_version": "5.0.0",
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"use_cache": true
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}
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version https://git-lfs.github.com/spec/v1
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oid sha256:57abba2209235f6249dbb118afc5d3667ddff77d9328926bf1de3aef41fce23b
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size 16060556616
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obedience_vector.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:3bd1cde3035b0fd4d703184552119dd17ca159e0899f8805045fd1b7cfda06ae
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size 18088
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tokenizer.json
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{
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"backend": "tokenizers",
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"bos_token": "<|begin_of_text|>",
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"clean_up_tokenization_spaces": true,
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"eos_token": "<|eot_id|>",
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"is_local": true,
|
||||||
|
"model_input_names": [
|
||||||
|
"input_ids",
|
||||||
|
"attention_mask"
|
||||||
|
],
|
||||||
|
"model_max_length": 131072,
|
||||||
|
"pad_token": "<|end_of_text|>",
|
||||||
|
"tokenizer_class": "TokenizersBackend"
|
||||||
|
}
|
||||||
Reference in New Issue
Block a user