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Model: DavidAU/OpenAI-gpt-oss-20B-INSTRUCT-Heretic-Uncensored Source: Original Platform
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137
README.md
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README.md
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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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pipeline_tag: text-generation
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library_name: transformers
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tags:
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- finetune
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- unsloth
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- instruct
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- heretic
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- uncensored
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- abliterated
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datasets:
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- TeichAI/mistral-small-creative-500x
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base_model:
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- coder3101/gpt-oss-20b-heretic
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---
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<h2>OpenAI-gpt-oss-20B-INSTRUCT-Heretic-Uncensored</h2>
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Thinking to Instruct fine tune (on Heretic, Uncensored GPT-OSS 20B) via Unsloth.
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This is fully uncensored model via HERETIC, then tuned (tuning fixes any issues from decensoring).
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No Nanny, No guardrails.
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This model will not have any thinking/reasoning at all - it was removed.
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No yapping -> straight to business.
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Work in progress - not everything may work correctly.
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Context: 128k.
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SETTINGS - Standard:
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- temp .1 to .8
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- rep pen 1.02 to 1.1
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SETTINGS - Creative
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- temp .8 to 2.5
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- rep pen 1.1
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<B>HERETIC DE-CENSORING STATS:</B>
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NOTE: "KLD" of less than 1 is excellent, ZERO is perfect (no damage to the model).
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| Metric | This model | Original model ([openai/gpt-oss-20b](https://huggingface.co/openai/gpt-oss-20b)) |
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| :----- | :--------: | :---------------------------: |
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| **KL divergence** | 0.2933 | 0 *(by definition)* |
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| **Refusals** | 19/100 | 98/100 |
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---
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<B>SPECIAL THANKS TO:</B>
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- Team "P-E-W" for making Heretic software.
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- Team "Coder3101" for Heretic'ing the model.
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- Team "TeichAI" for the excellent dataset.
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- Team "Unsloth" for making the training painless.
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- Team "Nightmedia" for Benchmarks and co-labing.
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---
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<B>Using an "uncensored" (refusals removed) model VS trained "uncensored" model</B>
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Usually when you a tell a model to generate horror, swear or x-rated content this is all you have to do to get said content type.
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In the case of this model, it will not refuse your request, however it needs to be "pushed" a bit / directed a bit more in SOME CASES.
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Although this model will generated x-rated content too, likewise you need to tell it to use "slang" (and include the terms you want)
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to get it generate the content correctly as the "expected" content level too.
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Without these added directive(s), the content can be "bland" by comparison to an "uncensored model" or model trained on uncensored content.
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Roughly, the model tries to generate the content but the "default" setting(s) are so "tame" it needs a push to generate at expected graphic,
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cursing or explicit levels.
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Even with minimal direction (ie, use these words to swear: x,y,z), this will be enough to push the model to generate the requested content in the ahh... expected format.
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---
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<B>OPTIONAL: System prompts</B>
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This will enhance thinking and output generation.
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In most cases you do not need to use these.
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One is "all business", and the other one is for "fun".
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```
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Think deeply and carefully about the user's request. Compose your thoughts about the user's prompt between <think> and </think> tags, then output the final answer based on your thoughts.
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```
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```
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You are the JOKER from Batman. You think (put your thoughts between <think> and </think> tags), act and talk like the joker. Be Evil.
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```
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---
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<B>Settings: CHAT / ROLEPLAY and/or SMOOTHER operation of this model:</B>
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In "KoboldCpp" or "oobabooga/text-generation-webui" or "Silly Tavern" ;
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Set the "Smoothing_factor" to 1.5
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: in KoboldCpp -> Settings->Samplers->Advanced-> "Smooth_F"
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|
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: in text-generation-webui -> parameters -> lower right.
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: In Silly Tavern this is called: "Smoothing"
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NOTE: For "text-generation-webui"
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-> if using GGUFs you need to use "llama_HF" (which involves downloading some config files from the SOURCE version of this model)
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Source versions (and config files) of my models are here:
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https://huggingface.co/collections/DavidAU/d-au-source-files-for-gguf-exl2-awq-gptq-hqq-etc-etc-66b55cb8ba25f914cbf210be
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OTHER OPTIONS:
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|
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- Increase rep pen to 1.1 to 1.15 (you don't need to do this if you use "smoothing_factor")
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|
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- If the interface/program you are using to run AI MODELS supports "Quadratic Sampling" ("smoothing") just make the adjustment as noted.
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<B>Highest Quality Settings / Optimal Operation Guide / Parameters and Samplers</B>
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||||
|
||||
This a "Class 1" model:
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|
||||
For all settings used for this model (including specifics for its "class"), including example generation(s) and for advanced settings guide (which many times addresses any model issue(s)), including methods to improve model performance for all use case(s) as well as chat, roleplay and other use case(s) please see:
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|
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[ https://huggingface.co/DavidAU/Maximizing-Model-Performance-All-Quants-Types-And-Full-Precision-by-Samplers_Parameters ]
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|
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You can see all parameters used for generation, in addition to advanced parameters and samplers to get the most out of this model here:
|
||||
|
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[ https://huggingface.co/DavidAU/Maximizing-Model-Performance-All-Quants-Types-And-Full-Precision-by-Samplers_Parameters ]
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331
chat_template.jinja
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{#-
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In addition to the normal inputs of `messages` and `tools`, this template also accepts the
|
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following kwargs:
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||||
- "builtin_tools": A list, can contain "browser" and/or "python".
|
||||
- "model_identity": A string that optionally describes the model identity.
|
||||
- "reasoning_effort": A string that describes the reasoning effort, defaults to "medium".
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#}
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{#- Tool Definition Rendering ============================================== #}
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{%- macro render_typescript_type(param_spec, required_params, is_nullable=false) -%}
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{%- if param_spec.type == "array" -%}
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{%- if param_spec['items'] -%}
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{%- if param_spec['items']['type'] == "string" -%}
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{{- "string[]" }}
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{%- elif param_spec['items']['type'] == "number" -%}
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{{- "number[]" }}
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{%- elif param_spec['items']['type'] == "integer" -%}
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{{- "number[]" }}
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{%- elif param_spec['items']['type'] == "boolean" -%}
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{{- "boolean[]" }}
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{%- else -%}
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{%- set inner_type = render_typescript_type(param_spec['items'], required_params) -%}
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{%- if inner_type == "object | object" or inner_type|length > 50 -%}
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{{- "any[]" }}
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{%- else -%}
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{{- inner_type + "[]" }}
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{%- endif -%}
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{%- endif -%}
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{%- if param_spec.nullable -%}
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{{- " | null" }}
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{%- endif -%}
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{%- else -%}
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{{- "any[]" }}
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{%- if param_spec.nullable -%}
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{{- " | null" }}
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{%- endif -%}
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{%- endif -%}
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{%- elif param_spec.type is defined and param_spec.type is iterable and param_spec.type is not string and param_spec.type is not mapping and param_spec.type[0] is defined -%}
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{#- Handle array of types like ["object", "object"] from Union[dict, list] #}
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{%- if param_spec.type | length > 1 -%}
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{{- param_spec.type | join(" | ") }}
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{%- else -%}
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{{- param_spec.type[0] }}
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{%- endif -%}
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{%- elif param_spec.oneOf -%}
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{#- Handle oneOf schemas - check for complex unions and fallback to any #}
|
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{%- set has_object_variants = false -%}
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{%- for variant in param_spec.oneOf -%}
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{%- if variant.type == "object" -%}
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{%- set has_object_variants = true -%}
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{%- endif -%}
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{%- endfor -%}
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||||
{%- if has_object_variants and param_spec.oneOf|length > 1 -%}
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{{- "any" }}
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{%- else -%}
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{%- for variant in param_spec.oneOf -%}
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{{- render_typescript_type(variant, required_params) -}}
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{%- if variant.description %}
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{{- "// " + variant.description }}
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{%- endif -%}
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{%- if variant.default is defined %}
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{{ "// default: " + variant.default|tojson }}
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{%- endif -%}
|
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{%- if not loop.last %}
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{{- " | " }}
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{% endif -%}
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{%- endfor -%}
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{%- endif -%}
|
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{%- elif param_spec.type == "string" -%}
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{%- if param_spec.enum -%}
|
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{{- '"' + param_spec.enum|join('" | "') + '"' -}}
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{%- else -%}
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{{- "string" }}
|
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{%- if param_spec.nullable %}
|
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{{- " | null" }}
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{%- endif -%}
|
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{%- endif -%}
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{%- elif param_spec.type == "number" -%}
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{{- "number" }}
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{%- elif param_spec.type == "integer" -%}
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{{- "number" }}
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{%- elif param_spec.type == "boolean" -%}
|
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{{- "boolean" }}
|
||||
|
||||
{%- elif param_spec.type == "object" -%}
|
||||
{%- if param_spec.properties -%}
|
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{{- "{\n" }}
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||||
{%- for prop_name, prop_spec in param_spec.properties.items() -%}
|
||||
{{- prop_name -}}
|
||||
{%- if prop_name not in (param_spec.required or []) -%}
|
||||
{{- "?" }}
|
||||
{%- endif -%}
|
||||
{{- ": " }}
|
||||
{{ render_typescript_type(prop_spec, param_spec.required or []) }}
|
||||
{%- if not loop.last -%}
|
||||
{{-", " }}
|
||||
{%- endif -%}
|
||||
{%- endfor -%}
|
||||
{{- "}" }}
|
||||
{%- else -%}
|
||||
{{- "object" }}
|
||||
{%- endif -%}
|
||||
{%- else -%}
|
||||
{{- "any" }}
|
||||
{%- endif -%}
|
||||
{%- endmacro -%}
|
||||
|
||||
{%- macro render_tool_namespace(namespace_name, tools) -%}
|
||||
{{- "## " + namespace_name + "\n\n" }}
|
||||
{{- "namespace " + namespace_name + " {\n\n" }}
|
||||
{%- for tool in tools %}
|
||||
{%- set tool = tool.function %}
|
||||
{{- "// " + tool.description + "\n" }}
|
||||
{{- "type "+ tool.name + " = " }}
|
||||
{%- if tool.parameters and tool.parameters.properties %}
|
||||
{{- "(_: {\n" }}
|
||||
{%- for param_name, param_spec in tool.parameters.properties.items() %}
|
||||
{%- if param_spec.description %}
|
||||
{{- "// " + param_spec.description + "\n" }}
|
||||
{%- endif %}
|
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{{- param_name }}
|
||||
{%- if param_name not in (tool.parameters.required or []) -%}
|
||||
{{- "?" }}
|
||||
{%- endif -%}
|
||||
{{- ": " }}
|
||||
{{- render_typescript_type(param_spec, tool.parameters.required or []) }}
|
||||
{%- if param_spec.default is defined -%}
|
||||
{%- if param_spec.enum %}
|
||||
{{- ", // default: " + param_spec.default }}
|
||||
{%- elif param_spec.oneOf %}
|
||||
{{- "// default: " + param_spec.default }}
|
||||
{%- else %}
|
||||
{{- ", // default: " + param_spec.default|tojson }}
|
||||
{%- endif -%}
|
||||
{%- endif -%}
|
||||
{%- if not loop.last %}
|
||||
{{- ",\n" }}
|
||||
{%- else %}
|
||||
{{- ",\n" }}
|
||||
{%- endif -%}
|
||||
{%- endfor %}
|
||||
{{- "}) => any;\n\n" }}
|
||||
{%- else -%}
|
||||
{{- "() => any;\n\n" }}
|
||||
{%- endif -%}
|
||||
{%- endfor %}
|
||||
{{- "} // namespace " + namespace_name }}
|
||||
{%- endmacro -%}
|
||||
|
||||
{%- macro render_builtin_tools(browser_tool, python_tool) -%}
|
||||
{%- if browser_tool %}
|
||||
{{- "## browser\n\n" }}
|
||||
{{- "// Tool for browsing.\n" }}
|
||||
{{- "// The `cursor` appears in brackets before each browsing display: `[{cursor}]`.\n" }}
|
||||
{{- "// Cite information from the tool using the following format:\n" }}
|
||||
{{- "// `【{cursor}†L{line_start}(-L{line_end})?】`, for example: `【6†L9-L11】` or `【8†L3】`.\n" }}
|
||||
{{- "// Do not quote more than 10 words directly from the tool output.\n" }}
|
||||
{{- "// sources=web (default: web)\n" }}
|
||||
{{- "namespace browser {\n\n" }}
|
||||
{{- "// Searches for information related to `query` and displays `topn` results.\n" }}
|
||||
{{- "type search = (_: {\n" }}
|
||||
{{- "query: string,\n" }}
|
||||
{{- "topn?: number, // default: 10\n" }}
|
||||
{{- "source?: string,\n" }}
|
||||
{{- "}) => any;\n\n" }}
|
||||
{{- "// Opens the link `id` from the page indicated by `cursor` starting at line number `loc`, showing `num_lines` lines.\n" }}
|
||||
{{- "// Valid link ids are displayed with the formatting: `【{id}†.*】`.\n" }}
|
||||
{{- "// If `cursor` is not provided, the most recent page is implied.\n" }}
|
||||
{{- "// If `id` is a string, it is treated as a fully qualified URL associated with `source`.\n" }}
|
||||
{{- "// If `loc` is not provided, the viewport will be positioned at the beginning of the document or centered on the most relevant passage, if available.\n" }}
|
||||
{{- "// Use this function without `id` to scroll to a new location of an opened page.\n" }}
|
||||
{{- "type open = (_: {\n" }}
|
||||
{{- "id?: number | string, // default: -1\n" }}
|
||||
{{- "cursor?: number, // default: -1\n" }}
|
||||
{{- "loc?: number, // default: -1\n" }}
|
||||
{{- "num_lines?: number, // default: -1\n" }}
|
||||
{{- "view_source?: boolean, // default: false\n" }}
|
||||
{{- "source?: string,\n" }}
|
||||
{{- "}) => any;\n\n" }}
|
||||
{{- "// Finds exact matches of `pattern` in the current page, or the page given by `cursor`.\n" }}
|
||||
{{- "type find = (_: {\n" }}
|
||||
{{- "pattern: string,\n" }}
|
||||
{{- "cursor?: number, // default: -1\n" }}
|
||||
{{- "}) => any;\n\n" }}
|
||||
{{- "} // namespace browser\n\n" }}
|
||||
{%- endif -%}
|
||||
|
||||
{%- if python_tool %}
|
||||
{{- "## python\n\n" }}
|
||||
{{- "Use this tool to execute Python code in your chain of thought. The code will not be shown to the user. This tool should be used for internal reasoning, but not for code that is intended to be visible to the user (e.g. when creating plots, tables, or files).\n\n" }}
|
||||
{{- "When you send a message containing Python code to python, it will be executed in a stateful Jupyter notebook environment. python will respond with the output of the execution or time out after 120.0 seconds. The drive at '/mnt/data' can be used to save and persist user files. Internet access for this session is UNKNOWN. Depends on the cluster.\n\n" }}
|
||||
{%- endif -%}
|
||||
{%- endmacro -%}
|
||||
|
||||
{#- System Message Construction ============================================ #}
|
||||
{%- macro build_system_message() -%}
|
||||
{%- if model_identity is not defined %}
|
||||
{%- set model_identity = "You are ChatGPT, a large language model trained by OpenAI." %}
|
||||
{%- endif %}
|
||||
{{- model_identity + "\n" }}
|
||||
{{- "Knowledge cutoff: 2024-06\n" }}
|
||||
{{- "Current date: " + strftime_now("%Y-%m-%d") + "\n\n" }}
|
||||
{%- if reasoning_effort is not defined %}
|
||||
{%- set reasoning_effort = "medium" %}
|
||||
{%- endif %}
|
||||
{{- "Reasoning: " + reasoning_effort + "\n\n" }}
|
||||
{%- if builtin_tools %}
|
||||
{{- "# Tools\n\n" }}
|
||||
{%- set available_builtin_tools = namespace(browser=false, python=false) %}
|
||||
{%- for tool in builtin_tools %}
|
||||
{%- if tool == "browser" %}
|
||||
{%- set available_builtin_tools.browser = true %}
|
||||
{%- elif tool == "python" %}
|
||||
{%- set available_builtin_tools.python = true %}
|
||||
{%- endif %}
|
||||
{%- endfor %}
|
||||
{{- render_builtin_tools(available_builtin_tools.browser, available_builtin_tools.python) }}
|
||||
{%- endif -%}
|
||||
{{- "# Valid channels: analysis, commentary, final. Channel must be included for every message." }}
|
||||
{%- if tools -%}
|
||||
{{- "\nCalls to these tools must go to the commentary channel: 'functions'." }}
|
||||
{%- endif -%}
|
||||
{%- endmacro -%}
|
||||
|
||||
{#- Main Template Logic ================================================= #}
|
||||
{#- Set defaults #}
|
||||
|
||||
{#- Render system message #}
|
||||
{{- "<|start|>system<|message|>" }}
|
||||
{{- build_system_message() }}
|
||||
{{- "<|end|>" }}
|
||||
|
||||
{#- Extract developer message #}
|
||||
{%- if messages[0].role == "developer" or messages[0].role == "system" %}
|
||||
{%- set developer_message = messages[0].content %}
|
||||
{%- set loop_messages = messages[1:] %}
|
||||
{%- else %}
|
||||
{%- set developer_message = "" %}
|
||||
{%- set loop_messages = messages %}
|
||||
{%- endif %}
|
||||
|
||||
{#- Render developer message #}
|
||||
{%- if developer_message or tools %}
|
||||
{{- "<|start|>developer<|message|>" }}
|
||||
{%- if developer_message %}
|
||||
{{- "# Instructions\n\n" }}
|
||||
{{- developer_message }}
|
||||
{{- "\n\n" }}
|
||||
{%- endif %}
|
||||
{%- if tools -%}
|
||||
{{- "# Tools\n\n" }}
|
||||
{{- render_tool_namespace("functions", tools) }}
|
||||
{%- endif -%}
|
||||
{{- "<|end|>" }}
|
||||
{%- endif %}
|
||||
|
||||
{#- Render messages #}
|
||||
{%- set last_tool_call = namespace(name=none) %}
|
||||
{%- for message in loop_messages -%}
|
||||
{#- At this point only assistant/user/tool messages should remain #}
|
||||
{%- if message.role == 'assistant' -%}
|
||||
{#- Checks to ensure the messages are being passed in the format we expect #}
|
||||
{%- if "content" in message %}
|
||||
{%- if "<|channel|>analysis<|message|>" in message.content or "<|channel|>final<|message|>" in message.content %}
|
||||
{{- raise_exception("You have passed a message containing <|channel|> tags in the content field. Instead of doing this, you should pass analysis messages (the string between '<|message|>' and '<|end|>') in the 'thinking' field, and final messages (the string between '<|message|>' and '<|end|>') in the 'content' field.") }}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- if "thinking" in message %}
|
||||
{%- if "<|channel|>analysis<|message|>" in message.thinking or "<|channel|>final<|message|>" in message.thinking %}
|
||||
{{- raise_exception("You have passed a message containing <|channel|> tags in the thinking field. Instead of doing this, you should pass analysis messages (the string between '<|message|>' and '<|end|>') in the 'thinking' field, and final messages (the string between '<|message|>' and '<|end|>') in the 'content' field.") }}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- if "tool_calls" in message %}
|
||||
{#- We need very careful handling here - we want to drop the tool call analysis message if the model #}
|
||||
{#- has output a later <|final|> message, but otherwise we want to retain it. This is the only case #}
|
||||
{#- when we render CoT/analysis messages in inference. #}
|
||||
{%- set future_final_message = namespace(found=false) %}
|
||||
{%- for future_message in loop_messages[loop.index:] %}
|
||||
{%- if future_message.role == 'assistant' and "tool_calls" not in future_message %}
|
||||
{%- set future_final_message.found = true %}
|
||||
{%- endif %}
|
||||
{%- endfor %}
|
||||
{#- We assume max 1 tool call per message, and so we infer the tool call name #}
|
||||
{#- in "tool" messages from the most recent assistant tool call name #}
|
||||
{%- set tool_call = message.tool_calls[0] %}
|
||||
{%- if tool_call.function %}
|
||||
{%- set tool_call = tool_call.function %}
|
||||
{%- endif %}
|
||||
{%- if message.content and message.thinking %}
|
||||
{{- raise_exception("Cannot pass both content and thinking in an assistant message with tool calls! Put the analysis message in one or the other, but not both.") }}
|
||||
{%- elif message.content and not future_final_message.found %}
|
||||
{{- "<|start|>assistant<|channel|>analysis<|message|>" + message.content + "<|end|>" }}
|
||||
{%- elif message.thinking and not future_final_message.found %}
|
||||
{{- "<|start|>assistant<|channel|>analysis<|message|>" + message.thinking + "<|end|>" }}
|
||||
{%- endif %}
|
||||
{{- "<|start|>assistant to=" }}
|
||||
{{- "functions." + tool_call.name + "<|channel|>commentary " }}
|
||||
{{- (tool_call.content_type if tool_call.content_type is defined else "json") + "<|message|>" }}
|
||||
{{- tool_call.arguments|tojson }}
|
||||
{{- "<|call|>" }}
|
||||
{%- set last_tool_call.name = tool_call.name %}
|
||||
{%- elif loop.last and not add_generation_prompt %}
|
||||
{#- Only render the CoT if the final turn is an assistant turn and add_generation_prompt is false #}
|
||||
{#- This is a situation that should only occur in training, never in inference. #}
|
||||
{%- if "thinking" in message %}
|
||||
{{- "<|start|>assistant<|channel|>analysis<|message|>" + message.thinking + "<|end|>" }}
|
||||
{%- endif %}
|
||||
{#- <|return|> indicates the end of generation, but <|end|> does not #}
|
||||
{#- <|return|> should never be an input to the model, but we include it as the final token #}
|
||||
{#- when training, so the model learns to emit it. #}
|
||||
{{- "<|start|>assistant<|channel|>final<|message|>" + message.content + "<|return|>" }}
|
||||
{%- else %}
|
||||
{#- CoT is dropped during all previous turns, so we never render it for inference #}
|
||||
{{- "<|start|>assistant<|channel|>final<|message|>" + message.content + "<|end|>" }}
|
||||
{%- set last_tool_call.name = none %}
|
||||
{%- endif %}
|
||||
{%- elif message.role == 'tool' -%}
|
||||
{%- if last_tool_call.name is none %}
|
||||
{{- raise_exception("Message has tool role, but there was no previous assistant message with a tool call!") }}
|
||||
{%- endif %}
|
||||
{{- "<|start|>functions." + last_tool_call.name }}
|
||||
{{- " to=assistant<|channel|>commentary<|message|>" + message.content|tojson + "<|end|>" }}
|
||||
{%- elif message.role == 'user' -%}
|
||||
{{- "<|start|>user<|message|>" + message.content + "<|end|>" }}
|
||||
{%- endif -%}
|
||||
{%- endfor -%}
|
||||
|
||||
{#- Generation prompt #}
|
||||
{%- if add_generation_prompt -%}
|
||||
<|start|>assistant
|
||||
{%- endif -%}
|
||||
68
config.json
Normal file
68
config.json
Normal file
@@ -0,0 +1,68 @@
|
||||
{
|
||||
"architectures": [
|
||||
"GptOssForCausalLM"
|
||||
],
|
||||
"attention_bias": true,
|
||||
"attention_dropout": 0.0,
|
||||
"dtype": "bfloat16",
|
||||
"eos_token_id": 200002,
|
||||
"experts_per_token": 4,
|
||||
"head_dim": 64,
|
||||
"hidden_act": "silu",
|
||||
"hidden_size": 2880,
|
||||
"initial_context_length": 4096,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 2880,
|
||||
"layer_types": [
|
||||
"sliding_attention",
|
||||
"full_attention",
|
||||
"sliding_attention",
|
||||
"full_attention",
|
||||
"sliding_attention",
|
||||
"full_attention",
|
||||
"sliding_attention",
|
||||
"full_attention",
|
||||
"sliding_attention",
|
||||
"full_attention",
|
||||
"sliding_attention",
|
||||
"full_attention",
|
||||
"sliding_attention",
|
||||
"full_attention",
|
||||
"sliding_attention",
|
||||
"full_attention",
|
||||
"sliding_attention",
|
||||
"full_attention",
|
||||
"sliding_attention",
|
||||
"full_attention",
|
||||
"sliding_attention",
|
||||
"full_attention",
|
||||
"sliding_attention",
|
||||
"full_attention"
|
||||
],
|
||||
"max_position_embeddings": 131072,
|
||||
"model_type": "gpt_oss",
|
||||
"num_attention_heads": 64,
|
||||
"num_experts_per_tok": 4,
|
||||
"num_hidden_layers": 24,
|
||||
"num_key_value_heads": 8,
|
||||
"num_local_experts": 32,
|
||||
"output_router_logits": false,
|
||||
"pad_token_id": 199999,
|
||||
"rms_norm_eps": 1e-05,
|
||||
"rope_scaling": {
|
||||
"beta_fast": 32.0,
|
||||
"beta_slow": 1.0,
|
||||
"factor": 32.0,
|
||||
"original_max_position_embeddings": 4096,
|
||||
"rope_type": "yarn",
|
||||
"truncate": false
|
||||
},
|
||||
"rope_theta": 150000,
|
||||
"router_aux_loss_coef": 0.9,
|
||||
"sliding_window": 128,
|
||||
"swiglu_limit": 7.0,
|
||||
"tie_word_embeddings": false,
|
||||
"transformers_version": "4.57.6",
|
||||
"use_cache": true,
|
||||
"vocab_size": 201088
|
||||
}
|
||||
11
generation_config.json
Normal file
11
generation_config.json
Normal file
@@ -0,0 +1,11 @@
|
||||
{
|
||||
"bos_token_id": 199998,
|
||||
"do_sample": true,
|
||||
"eos_token_id": [
|
||||
200002,
|
||||
199999,
|
||||
200012
|
||||
],
|
||||
"pad_token_id": 199999,
|
||||
"transformers_version": "4.57.6"
|
||||
}
|
||||
3
model-00001-of-00009.safetensors
Normal file
3
model-00001-of-00009.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
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||||
oid sha256:d6bf9ee2f7c1e5fec79e3233388bab230746974aba56013c5d9aa69d33ac3194
|
||||
size 4504304664
|
||||
3
model-00002-of-00009.safetensors
Normal file
3
model-00002-of-00009.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
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||||
oid sha256:c4e4c434197fac377405fbadca0f870b4039c97c73810d81a833a824d9143b50
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||||
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|
||||
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Normal file
3
model-00003-of-00009.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
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||||
oid sha256:0e09a67d9f3a2c6bce13da6dbb0b0c47cf856be20e467deb3a0276ede59f80f3
|
||||
size 4939127656
|
||||
3
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Normal file
3
model-00004-of-00009.safetensors
Normal file
@@ -0,0 +1,3 @@
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||||
version https://git-lfs.github.com/spec/v1
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oid sha256:b4ea3c09cb0133bb2b1ee4608040ff1edf7cbd7c7a445759225c91062f67d7e6
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||||
size 4939127680
|
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3
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Normal file
3
model-00005-of-00009.safetensors
Normal file
@@ -0,0 +1,3 @@
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||||
version https://git-lfs.github.com/spec/v1
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oid sha256:12845eab4b3539dc7d614cefc9289b9468c70dafa996665e533ae852bef5fb22
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size 4939127704
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3
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Normal file
3
model-00006-of-00009.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
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oid sha256:945d560d273681940baed3a0445cc0b62e9eb2ab2f0f61b3d476c9559665692c
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size 4939127704
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Normal file
3
model-00007-of-00009.safetensors
Normal file
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 4939127704
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3
model-00008-of-00009.safetensors
Normal file
3
model-00008-of-00009.safetensors
Normal file
@@ -0,0 +1,3 @@
|
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version https://git-lfs.github.com/spec/v1
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||||
oid sha256:1dccd5e114ccfcd8d4b0593de7ffd0d9f0f66a521b4514aed423f682c99debda
|
||||
size 4939127704
|
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3
model-00009-of-00009.safetensors
Normal file
3
model-00009-of-00009.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
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||||
oid sha256:5c631214091a6187cf6d098a26a97ff464560e3f54e12236836d7d204dd133eb
|
||||
size 2751362856
|
||||
419
model.safetensors.index.json
Normal file
419
model.safetensors.index.json
Normal file
@@ -0,0 +1,419 @@
|
||||
{
|
||||
"metadata": {
|
||||
"total_parameters": 20914757184,
|
||||
"total_size": 41829514368
|
||||
},
|
||||
"weight_map": {
|
||||
"lm_head.weight": "model-00009-of-00009.safetensors",
|
||||
"model.embed_tokens.weight": "model-00001-of-00009.safetensors",
|
||||
"model.layers.0.input_layernorm.weight": "model-00001-of-00009.safetensors",
|
||||
"model.layers.0.mlp.experts.down_proj": "model-00001-of-00009.safetensors",
|
||||
"model.layers.0.mlp.experts.down_proj_bias": "model-00001-of-00009.safetensors",
|
||||
"model.layers.0.mlp.experts.gate_up_proj": "model-00001-of-00009.safetensors",
|
||||
"model.layers.0.mlp.experts.gate_up_proj_bias": "model-00001-of-00009.safetensors",
|
||||
"model.layers.0.mlp.router.bias": "model-00001-of-00009.safetensors",
|
||||
"model.layers.0.mlp.router.weight": "model-00001-of-00009.safetensors",
|
||||
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|
||||
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|
||||
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00009.safetensors",
|
||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
"model.layers.1.mlp.experts.down_proj_bias": "model-00001-of-00009.safetensors",
|
||||
"model.layers.1.mlp.experts.gate_up_proj": "model-00001-of-00009.safetensors",
|
||||
"model.layers.1.mlp.experts.gate_up_proj_bias": "model-00001-of-00009.safetensors",
|
||||
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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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||||
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|
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|
||||
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||||
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||||
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|
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Normal file
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187
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||||
"200006": {
|
||||
"content": "<|start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"200007": {
|
||||
"content": "<|end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"200008": {
|
||||
"content": "<|message|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"200009": {
|
||||
"content": "<|reserved_200009|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"200010": {
|
||||
"content": "<|reserved_200010|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"200011": {
|
||||
"content": "<|reserved_200011|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"200012": {
|
||||
"content": "<|call|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"200013": {
|
||||
"content": "<|reserved_200013|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"200014": {
|
||||
"content": "<|reserved_200014|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"200015": {
|
||||
"content": "<|reserved_200015|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"200016": {
|
||||
"content": "<|reserved_200016|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"200017": {
|
||||
"content": "<|reserved_200017|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"200018": {
|
||||
"content": "<|endofprompt|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
}
|
||||
},
|
||||
"bos_token": "<|startoftext|>",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|return|>",
|
||||
"extra_special_tokens": {},
|
||||
"max_length": null,
|
||||
"model_input_names": [
|
||||
"input_ids",
|
||||
"attention_mask"
|
||||
],
|
||||
"model_max_length": 1000000000000000019884624838656,
|
||||
"pad_to_multiple_of": null,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"pad_token_type_id": 0,
|
||||
"padding_side": "left",
|
||||
"tokenizer_class": "PreTrainedTokenizerFast"
|
||||
}
|
||||
Reference in New Issue
Block a user