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Model: c4tdr0ut/grok-oss-Revenant-8B Source: Original Platform
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size 8540775584
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57
Modelfile
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FROM Llama-3.1-8B-Instruct.Q5_K_M.gguf
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TEMPLATE """{{ if .Messages }}
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{{- if or .System .Tools }}<|start_header_id|>system<|end_header_id|>
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{{- if .System }}
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{{ .System }}
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{{- end }}
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{{- if .Tools }}
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You are a helpful assistant with tool calling capabilities. When you receive a tool call response, use the output to format an answer to the original use question.
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{{- end }}
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{{- end }}<|eot_id|>
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{{- range $i, $_ := .Messages }}
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{{- $last := eq (len (slice $.Messages $i)) 1 }}
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{{- if eq .Role "user" }}<|start_header_id|>user<|end_header_id|>
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{{- if and $.Tools $last }}
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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.
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Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}. Do not use variables.
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{{ $.Tools }}
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{{- end }}
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{{ .Content }}<|eot_id|>{{ if $last }}<|start_header_id|>assistant<|end_header_id|>
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{{ end }}
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{{- else if eq .Role "assistant" }}<|start_header_id|>assistant<|end_header_id|>
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{{- if .ToolCalls }}
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{{- range .ToolCalls }}{"name": "{{ .Function.Name }}", "parameters": {{ .Function.Arguments }}}{{ end }}
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{{- else }}
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{{ .Content }}{{ if not $last }}<|eot_id|>{{ end }}
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{{- end }}
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{{- else if eq .Role "tool" }}<|start_header_id|>ipython<|end_header_id|>
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{{ .Content }}<|eot_id|>{{ if $last }}<|start_header_id|>assistant<|end_header_id|>
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{{ end }}
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{{- end }}
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{{- end }}
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{{- else }}
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{{- if .System }}<|start_header_id|>system<|end_header_id|>
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{{ .System }}<|eot_id|>{{ end }}{{ if .Prompt }}<|start_header_id|>user<|end_header_id|>
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{{ .Prompt }}<|eot_id|>{{ end }}<|start_header_id|>assistant<|end_header_id|>
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{{ end }}{{ .Response }}{{ if .Response }}<|eot_id|>{{ end }}"""
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PARAMETER stop "<|start_header_id|>"
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PARAMETER stop "<|end_header_id|>"
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PARAMETER stop "<|eot_id|>"
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PARAMETER stop "<|eom_id|>"
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PARAMETER temperature 1.5
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PARAMETER min_p 0.1
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59
README.md
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59
README.md
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---
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language:
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- en
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license: other
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library_name: transformers
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pipeline_tag: text-generation
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base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
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tags:
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- grok
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- llama
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- lora
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- orpo
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- sft
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- unaligned
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- uncensored
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- text-generation
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---
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<div align="center">
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<img src="logo.png" width="420" alt="Grok OSS Revenant Logo">
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# Grok OSS Revenant • 8B
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**The second evolution in the Grok OSS series.**
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||||
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</div>
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### Model Description
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||||
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||||
**Grok OSS Revenant** is an unfiltered 8B model distilled from real unhinged voice mode conversations with Grok.
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||||
This version marks a big improvement over previous Grok OSS models. It was trained using a cleaner two-stage approach (SFT followed by ORPO) instead of pure SFT, resulting in better personality, coherence, and raw unhinged behavior.
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||||
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||||
### Training Process
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||||
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||||
- **Base Model**: Meta-Llama-3.1-8B-Instruct
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- **Stage 1 – SFT**: Trained on a fresh, high-quality multi-turn conversational dataset collected from Grok voice mode (unshuffled). 2 epochs at **2e-4** learning rate.
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||||
- **Stage 2 – ORPO**: Further aligned using a 1,000-sample preference dataset (600 filtered old voice turns + 400 high-quality samples). 3 epochs at **5e-6** learning rate.
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- **Method**: LoRA (16-bit)
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- **Hardware**: NVIDIA L40S
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### Intended Use
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||||
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Designed for users who want a raw, uncensored, and chaotic conversational experience. Great for creative writing, dark humor, roleplay, and unfiltered chat.
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### Limitations
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||||
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||||
- 8B size means it can still hallucinate or lose coherence in very long conversations
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- Heavily influenced by unhinged voice data — expect vulgar, chaotic, and unpredictable behavior
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- Not suitable for safe or professional use cases
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||||
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||||
### Disclaimer
|
||||
|
||||
This is an **independent** project and is not affiliated with xAI or Meta in any way.
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||||
|
||||
---
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||||
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**Built with ❤️ and a complete lack of restraint.**
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139
chat_template.jinja
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139
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 %}
|
||||
{%- endif %}
|
||||
{%- if not date_string is defined %}
|
||||
{%- set date_string = "26 July 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'] %}
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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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||||
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||||
{#- System message + builtin tools #}
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||||
{{- "<|start_header_id|>system<|end_header_id|>
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||||
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||||
" }}
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||||
{%- if builtin_tools is defined or tools is not none %}
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||||
{{- "Environment: ipython
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||||
" }}
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||||
{%- endif %}
|
||||
{%- if builtin_tools is defined %}
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||||
{{- "Tools: " + builtin_tools | reject('equalto', 'code_interpreter') | join(", ") + "
|
||||
|
||||
"}}
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||||
{%- endif %}
|
||||
{{- "Cutting Knowledge Date: December 2023
|
||||
" }}
|
||||
{{- "Today Date: " + date_string + "
|
||||
|
||||
" }}
|
||||
{%- 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}.' }}
|
||||
{{- "Do not use variables.
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||||
|
||||
" }}
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||||
{%- for t in tools %}
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||||
{{- t | tojson(indent=4) }}
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||||
{{- "
|
||||
|
||||
" }}
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||||
{%- endfor %}
|
||||
{%- endif %}
|
||||
{{- system_message }}
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||||
{{- "<|eot_id|>" }}
|
||||
|
||||
{#- Custom tools are passed in a user message with some extra guidance #}
|
||||
{%- if tools_in_user_message and not tools is none %}
|
||||
{#- Extract the first user message so we can plug it in here #}
|
||||
{%- if messages | length != 0 %}
|
||||
{%- set first_user_message = messages[0]['content'] %}
|
||||
{%- set messages = messages[1:] %}
|
||||
{%- else %}
|
||||
{{- raise_exception("Cannot put tools in the first user message when there's no first user message!") }}
|
||||
{%- endif %}
|
||||
{{- '<|start_header_id|>user<|end_header_id|>
|
||||
|
||||
' -}}
|
||||
{{- "Given the following functions, please respond with a JSON for a function call " }}
|
||||
{{- "with its proper arguments that best answers the given prompt.
|
||||
|
||||
" }}
|
||||
{{- 'Respond in the format {"name": function name, "parameters": dictionary of argument name and its value}.' }}
|
||||
{{- "Do not use variables.
|
||||
|
||||
" }}
|
||||
{%- for t in tools %}
|
||||
{{- t | tojson(indent=4) }}
|
||||
{{- "
|
||||
|
||||
" }}
|
||||
{%- endfor %}
|
||||
{{- first_user_message + "<|eot_id|>"}}
|
||||
{%- endif %}
|
||||
|
||||
{%- for message in messages %}
|
||||
{%- if not (message.role == 'ipython' or message.role == 'tool' or 'tool_calls' in message) %}
|
||||
{{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>
|
||||
|
||||
'+ message['content'] + '<|eot_id|>' }}
|
||||
{%- elif 'tool_calls' in message %}
|
||||
{%- if not message.tool_calls|length == 1 %}
|
||||
{{- raise_exception("This model only supports single tool-calls at once!") }}
|
||||
{%- endif %}
|
||||
{%- set tool_call = message.tool_calls[0].function %}
|
||||
{%- if builtin_tools is defined and tool_call.name in builtin_tools %}
|
||||
{{- '<|start_header_id|>assistant<|end_header_id|>
|
||||
|
||||
' -}}
|
||||
{{- "<|python_tag|>" + tool_call.name + ".call(" }}
|
||||
{%- for arg_name, arg_val in tool_call.arguments | items %}
|
||||
{{- arg_name + '="' + arg_val + '"' }}
|
||||
{%- if not loop.last %}
|
||||
{{- ", " }}
|
||||
{%- endif %}
|
||||
{%- endfor %}
|
||||
{{- ")" }}
|
||||
{%- else %}
|
||||
{{- '<|start_header_id|>assistant<|end_header_id|>
|
||||
|
||||
' -}}
|
||||
{{- '{"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|>
|
||||
|
||||
" }}
|
||||
{%- 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|>
|
||||
|
||||
' }}
|
||||
{%- endif %}
|
||||
37
config.json
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37
config.json
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|
||||
{
|
||||
"architectures": [
|
||||
"LlamaForCausalLM"
|
||||
],
|
||||
"attention_bias": false,
|
||||
"attention_dropout": 0.0,
|
||||
"bos_token_id": 128000,
|
||||
"torch_dtype": "bfloat16",
|
||||
"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": 128004,
|
||||
"pretraining_tp": 1,
|
||||
"rms_norm_eps": 1e-05,
|
||||
"rope_scaling": {
|
||||
"factor": 8.0,
|
||||
"high_freq_factor": 4.0,
|
||||
"low_freq_factor": 1.0,
|
||||
"original_max_position_embeddings": 8192,
|
||||
"rope_type": "llama3"
|
||||
},
|
||||
"rope_theta": 500000.0,
|
||||
"tie_word_embeddings": false,
|
||||
"unsloth_fixed": true,
|
||||
"unsloth_version": "2026.6.9",
|
||||
"use_cache": true,
|
||||
"vocab_size": 128256
|
||||
}
|
||||
14
generation_config.json
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generation_config.json
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|
||||
{
|
||||
"bos_token_id": 128000,
|
||||
"do_sample": true,
|
||||
"eos_token_id": [
|
||||
128001,
|
||||
128008,
|
||||
128009
|
||||
],
|
||||
"max_length": 131072,
|
||||
"pad_token_id": 128004,
|
||||
"temperature": 0.6,
|
||||
"top_p": 0.9,
|
||||
"transformers_version": "4.57.6"
|
||||
}
|
||||
3
logo.png
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3
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||||
}
|
||||
23
special_tokens_map.json
Normal file
23
special_tokens_map.json
Normal file
@@ -0,0 +1,23 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<|begin_of_text|>",
|
||||
"lstrip": false,
|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
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|
||||
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|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
BIN
tokenizer.json
(Stored with Git LFS)
Normal file
BIN
tokenizer.json
(Stored with Git LFS)
Normal file
Binary file not shown.
2067
tokenizer_config.json
Normal file
2067
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user