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Model: N-Bot-Int/OpenElla-NovelWriter-8B-V2-merged Source: Original Platform
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README.md
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---
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base_model: p-e-w/Llama-3.1-8B-Instruct-heretic
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tags:
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- text-generation-inference
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- transformers
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- unsloth
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- llama
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- Uncensored
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- trl
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- roleplay
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- conversational
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license: apache-2.0
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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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library_name: transformers
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new_version: N-Bot-Int/OpenElla-NovelWriter-Requiem-Ascended
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---
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## NEW VERSION RELEASED!
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**N-Bot-Int/OpenElla-NovelWriter-Requiem-Ascended** is officially released! our last and final novelWriter model!
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you can visit the model card on [huggingface](https://huggingface.co/N-Bot-Int/OpenElla-NovelWriter-Requiem-Ascended)!
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## // BORKED :/ - visit the other versions if ya want!
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(The model exhibits covertion to uncensored RP and Godmods!)
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- if this is, what you want! Aka Novel formatting(get it.. Novel Writer!)... no seriously... A story generator
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- Then this model is for **YOU**
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# OpenElla-NovelWriter-8B-V2 is OFFICIALLY RELEASED!
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- IMAGE GENERATED USING CHATGPT!
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# OpenElla-NovelWriter-8B-V2, LIMITLESS EXPERIENCE, EXECELENT RP, EFFICIENT WEIGHT SIZE!
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- Built on top of **p-e-w/Llama-3.1-8B-Instruct-heretic**, OpenElla-NovelWriter-8B-V2 is our **NEWEST** and
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**MOST CAPABLE** roleplay-focused model to date, trained with a clear goal:
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deliver the **best open RP experience** on accessible hardware, RIVALING OUR CHAMPION **MISTHENA7B**!.
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- OpenElla specializes in **Roleplay** scenarios, with strong support for narrative writing,
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character immersion, and proper RP formatting (dialogue in `"` and actions in `*`).
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*READ MORE FOR MORE INFO*
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8 BILLIONS PARAMS MODEL
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# OpenElla-NovelWriter-8B-V2 Model Procedure/Methodology:
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- **OpenElla-NovelWriter-8B-V2** is trained Using **P-E-W-S**'s Llama-3.1-8B Instruct Version of the Model, ensuring full creative flow without refusal!
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OpenElla-NovelWriter-8B-V2 is then fed our brand new **17K DATASET** named **MEulysis-SYNTHETIC-M1**!
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- **MEulysis-SYNTHETIC-M1** — a 17K entry synthetically generated dataset produced using
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multiple capable RP models (including Mythomax and Hermes), then carefully cleaned,
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formatted, and tuned across a wide range of roleplay scenarios.
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### What makes MEulysis-SYNTHETIC-M1 different?
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- **17,000 entries** of synthetic RP data generated from multiple frontier RP models
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- Wide RP focus covering diverse character types, settings, and narrative styles
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- Includes **MOST ELABORATE EXPERIENCES** to **MOST TABOO SCENARIOS**
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- Clear formatting guidance baked into the data — proper use of `"dialogue"` and `*actions*`
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- Removal of ANY FORMATTING, ensuring Dataset's Usability to other Architectures!
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- Fully cleaned and curated for quality and consistency
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# Training Details
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- **Finetuning Tool:** Unsloth AI + Huggingface TRL
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- **Training Platform:** Kaggle Free Tier with T4 x2!
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- **Epochs:** 3
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- **Final Training Loss:** 0.8 *(Lowest we've achieved so far!)*
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- **Dataset:** MEulysis-SYNTHETIC-M1 (17K entries)
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- **OpenElla-NovelWriter-8B-V2** 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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[nexus.networkinteractives@gmail.com](mailto:nexus.networkinteractives@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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# What's Coming Next?
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> 🔒 **Human Fine-Tuned Version & Mixed Models — Coming Soon for Supporters First!**
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> We're currently working on a Newer version of OpenElla to push the model's
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> roleplay quality even further. Supporters will get early access before public release.
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> Stay tuned!
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[](https://ko-fi.com/J3J61D8NHV)
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Benchmarks are also in the pipeline and will be added once available.
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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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---
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# About
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- **OpenElla-NovelWriter-8B-V2** 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 :** p-e-w/Llama-3.1-8B-Instruct-heretic
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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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- Unsloth AI
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- This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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- Fine-tuned Using:
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- Kaggle Free Tier with T4 x2
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109
chat_template.jinja
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{{- bos_token }}
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{%- if custom_tools is defined %}
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{%- set tools = custom_tools %}
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{%- endif %}
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{%- if not tools_in_user_message is defined %}
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{%- set tools_in_user_message = true %}
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{%- endif %}
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{%- if not date_string is defined %}
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{%- set date_string = "26 Jul 2024" %}
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{%- endif %}
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{%- if not tools is defined %}
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{%- set tools = none %}
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{%- endif %}
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{#- This block extracts the system message, so we can slot it into the right place. #}
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{%- if messages[0]['role'] == 'system' %}
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{%- set system_message = messages[0]['content']|trim %}
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{%- set messages = messages[1:] %}
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{%- else %}
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{%- set system_message = "" %}
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{%- endif %}
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{#- System message + builtin tools #}
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{{- "<|start_header_id|>system<|end_header_id|>\n\n" }}
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{%- if builtin_tools is defined or tools is not none %}
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{{- "Environment: ipython\n" }}
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{%- endif %}
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{%- if builtin_tools is defined %}
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{{- "Tools: " + builtin_tools | reject('equalto', 'code_interpreter') | join(", ") + "\n\n"}}
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{%- endif %}
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{{- "Cutting Knowledge Date: December 2023\n" }}
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{{- "Today Date: " + date_string + "\n\n" }}
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{%- if tools is not none and not tools_in_user_message %}
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{{- "You have access to the following functions. To call a function, please respond with JSON for a function call." }}
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{{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
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{{- "Do not use variables.\n\n" }}
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{%- for t in tools %}
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{{- t | tojson(indent=4) }}
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{{- "\n\n" }}
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{%- endfor %}
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{%- endif %}
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{{- system_message }}
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{{- "<|eot_id|>" }}
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{#- Custom tools are passed in a user message with some extra guidance #}
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{%- if tools_in_user_message and not tools is none %}
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{#- Extract the first user message so we can plug it in here #}
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{%- if messages | length != 0 %}
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{%- set first_user_message = messages[0]['content']|trim %}
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{%- set messages = messages[1:] %}
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{%- else %}
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{{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }}
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||||
{%- endif %}
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{{- '<|start_header_id|>user<|end_header_id|>\n\n' -}}
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||||
{{- "Given the following functions, please respond with a JSON for a function call " }}
|
||||
{{- "with its proper arguments that best answers the given prompt.\n\n" }}
|
||||
{{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
|
||||
{{- "Do not use variables.\n\n" }}
|
||||
{%- for t in tools %}
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||||
{{- t | tojson(indent=4) }}
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{{- "\n\n" }}
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||||
{%- endfor %}
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||||
{{- first_user_message + "<|eot_id|>"}}
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{%- endif %}
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||||
|
||||
{%- for message in messages %}
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||||
{%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}
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{{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' }}
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||||
{%- elif 'tool_calls' in message %}
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||||
{%- if not message.tool_calls|length == 1 %}
|
||||
{{- raise_exception("This model only supports single tool-calls at once!") }}
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||||
{%- endif %}
|
||||
{%- set tool_call = message.tool_calls[0].function %}
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||||
{%- if builtin_tools is defined and tool_call.name in builtin_tools %}
|
||||
{{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
|
||||
{{- "<|python_tag|>" + tool_call.name + ".call(" }}
|
||||
{%- for arg_name, arg_val in tool_call.arguments | items %}
|
||||
{{- arg_name + '="' + arg_val + '"' }}
|
||||
{%- if not loop.last %}
|
||||
{{- ", " }}
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||||
{%- endif %}
|
||||
{%- endfor %}
|
||||
{{- ")" }}
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||||
{%- else %}
|
||||
{{- '<|start_header_id|>assistant<|end_header_id|>\n\n' -}}
|
||||
{{- '{"name": "' + tool_call.name + '", ' }}
|
||||
{{- '"parameters": ' }}
|
||||
{{- tool_call.arguments | tojson }}
|
||||
{{- "}" }}
|
||||
{%- endif %}
|
||||
{%- if builtin_tools is defined %}
|
||||
{#- This means we're in ipython mode #}
|
||||
{{- "<|eom_id|>" }}
|
||||
{%- else %}
|
||||
{{- "<|eot_id|>" }}
|
||||
{%- endif %}
|
||||
{%- elif message.role == "tool" or message.role == "ipython" %}
|
||||
{{- "<|start_header_id|>ipython<|end_header_id|>\n\n" }}
|
||||
{%- if message.content is mapping or message.content is iterable %}
|
||||
{{- message.content | tojson }}
|
||||
{%- else %}
|
||||
{{- message.content }}
|
||||
{%- endif %}
|
||||
{{- "<|eot_id|>" }}
|
||||
{%- endif %}
|
||||
{%- endfor %}
|
||||
{%- if add_generation_prompt %}
|
||||
{{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }}
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||||
{%- endif %}
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37
config.json
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config.json
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{
|
||||
"architectures": [
|
||||
"LlamaForCausalLM"
|
||||
],
|
||||
"attention_bias": false,
|
||||
"attention_dropout": 0.0,
|
||||
"bos_token_id": 128000,
|
||||
"torch_dtype": "float16",
|
||||
"eos_token_id": 128009,
|
||||
"head_dim": 128,
|
||||
"hidden_act": "silu",
|
||||
"hidden_size": 4096,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 14336,
|
||||
"max_position_embeddings": 131072,
|
||||
"mlp_bias": false,
|
||||
"model_type": "llama",
|
||||
"num_attention_heads": 32,
|
||||
"num_hidden_layers": 32,
|
||||
"num_key_value_heads": 8,
|
||||
"pad_token_id": 128009,
|
||||
"pretraining_tp": 1,
|
||||
"rms_norm_eps": 1e-05,
|
||||
"rope_parameters": {
|
||||
"factor": 8.0,
|
||||
"high_freq_factor": 4.0,
|
||||
"low_freq_factor": 1.0,
|
||||
"original_max_position_embeddings": 8192,
|
||||
"rope_theta": 500000.0,
|
||||
"rope_type": "llama3"
|
||||
},
|
||||
"tie_word_embeddings": false,
|
||||
"unsloth_fixed": true,
|
||||
"unsloth_version": "2026.4.4",
|
||||
"use_cache": false,
|
||||
"vocab_size": 128256
|
||||
}
|
||||
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||||
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|
||||
"model.norm.weight": "model-00004-of-00004.safetensors"
|
||||
}
|
||||
}
|
||||
BIN
tokenizer.json
(Stored with Git LFS)
Normal file
BIN
tokenizer.json
(Stored with Git LFS)
Normal file
Binary file not shown.
19
tokenizer_config.json
Normal file
19
tokenizer_config.json
Normal file
@@ -0,0 +1,19 @@
|
||||
{
|
||||
"backend": "tokenizers",
|
||||
"bos_token": "<|begin_of_text|>",
|
||||
"clean_up_tokenization_spaces": true,
|
||||
"eos_token": "<|eot_id|>",
|
||||
"from_slow": true,
|
||||
"is_local": false,
|
||||
"legacy": false,
|
||||
"model_input_names": [
|
||||
"input_ids",
|
||||
"attention_mask"
|
||||
],
|
||||
"model_max_length": 131072,
|
||||
"pad_token": "<|eot_id|>",
|
||||
"padding_side": "left",
|
||||
"tokenizer_class": "TokenizersBackend",
|
||||
"unk_token": null,
|
||||
"chat_template": "{{- bos_token }}\n{%- if custom_tools is defined %}\n {%- set tools = custom_tools %}\n{%- endif %}\n{%- if not tools_in_user_message is defined %}\n {%- set tools_in_user_message = true %}\n{%- endif %}\n{%- if not date_string is defined %}\n {%- set date_string = \"26 Jul 2024\" %}\n{%- endif %}\n{%- if not tools is defined %}\n {%- set tools = none %}\n{%- endif %}\n\n{#- This block extracts the system message, so we can slot it into the right place. #}\n{%- if messages[0]['role'] == 'system' %}\n {%- set system_message = messages[0]['content']|trim %}\n {%- set messages = messages[1:] %}\n{%- else %}\n {%- set system_message = \"\" %}\n{%- endif %}\n\n{#- System message + builtin tools #}\n{{- \"<|start_header_id|>system<|end_header_id|>\\n\\n\" }}\n{%- if builtin_tools is defined or tools is not none %}\n {{- \"Environment: ipython\\n\" }}\n{%- endif %}\n{%- if builtin_tools is defined %}\n {{- \"Tools: \" + builtin_tools | reject('equalto', 'code_interpreter') | join(\", \") + \"\\n\\n\"}}\n{%- endif %}\n{{- \"Cutting Knowledge Date: December 2023\\n\" }}\n{{- \"Today Date: \" + date_string + \"\\n\\n\" }}\n{%- if tools is not none and not tools_in_user_message %}\n {{- \"You have access to the following functions. To call a function, please respond with JSON for a function call.\" }}\n {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n {{- \"Do not use variables.\\n\\n\" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- \"\\n\\n\" }}\n {%- endfor %}\n{%- endif %}\n{{- system_message }}\n{{- \"<|eot_id|>\" }}\n\n{#- Custom tools are passed in a user message with some extra guidance #}\n{%- if tools_in_user_message and not tools is none %}\n {#- Extract the first user message so we can plug it in here #}\n {%- if messages | length != 0 %}\n {%- set first_user_message = messages[0]['content']|trim %}\n {%- set messages = messages[1:] %}\n {%- else %}\n {{- raise_exception(\"Cannot put tools in the first user message when there's no first user message!\") }}\n{%- endif %}\n {{- '<|start_header_id|>user<|end_header_id|>\\n\\n' -}}\n {{- \"Given the following functions, please respond with a JSON for a function call \" }}\n {{- \"with its proper arguments that best answers the given prompt.\\n\\n\" }}\n {{- 'Respond in the format {\"name\": function name, \"parameters\": dictionary of argument name and its value}.' }}\n {{- \"Do not use variables.\\n\\n\" }}\n {%- for t in tools %}\n {{- t | tojson(indent=4) }}\n {{- \"\\n\\n\" }}\n {%- endfor %}\n {{- first_user_message + \"<|eot_id|>\"}}\n{%- endif %}\n\n{%- for message in messages %}\n {%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}\n {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\\n\\n'+ message['content'] | trim + '<|eot_id|>' }}\n {%- elif 'tool_calls' in message %}\n {%- if not message.tool_calls|length == 1 %}\n {{- raise_exception(\"This model only supports single tool-calls at once!\") }}\n {%- endif %}\n {%- set tool_call = message.tool_calls[0].function %}\n {%- if builtin_tools is defined and tool_call.name in builtin_tools %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' -}}\n {{- \"<|python_tag|>\" + tool_call.name + \".call(\" }}\n {%- for arg_name, arg_val in tool_call.arguments | items %}\n {{- arg_name + '=\"' + arg_val + '\"' }}\n {%- if not loop.last %}\n {{- \", \" }}\n {%- endif %}\n {%- endfor %}\n {{- \")\" }}\n {%- else %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' -}}\n {{- '{\"name\": \"' + tool_call.name + '\", ' }}\n {{- '\"parameters\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- \"}\" }}\n {%- endif %}\n {%- if builtin_tools is defined %}\n {#- This means we're in ipython mode #}\n {{- \"<|eom_id|>\" }}\n {%- else %}\n {{- \"<|eot_id|>\" }}\n {%- endif %}\n {%- elif message.role == \"tool\" or message.role == \"ipython\" %}\n {{- \"<|start_header_id|>ipython<|end_header_id|>\\n\\n\" }}\n {%- if message.content is mapping or message.content is iterable %}\n {{- message.content | tojson }}\n {%- else %}\n {{- message.content }}\n {%- endif %}\n {{- \"<|eot_id|>\" }}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|start_header_id|>assistant<|end_header_id|>\\n\\n' }}\n{%- endif %}\n"
|
||||
}
|
||||
Reference in New Issue
Block a user