metadata

base_model: huihui-ai/Falcon3-10B-Instruct-abliterated
tags:
  - text-generation-inference
  - transformers
  - unsloth
  - llama
  - trl
license: apache-2.0
language:
  - en
datasets:
  - mlabonne/orpo-dpo-mix-40k
model-index:
  - name: BuddyGlassUncensored2025.2
    results:
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: IFEval (0-Shot)
          type: wis-k/instruction-following-eval
          split: train
          args:
            num_few_shot: 0
        metrics:
          - type: inst_level_strict_acc and prompt_level_strict_acc
            value: 77.31
            name: averaged accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=darkc0de%2FBuddyGlassUncensored2025.2
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: BBH (3-Shot)
          type: SaylorTwift/bbh
          split: test
          args:
            num_few_shot: 3
        metrics:
          - type: acc_norm
            value: 43.57
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=darkc0de%2FBuddyGlassUncensored2025.2
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: MATH Lvl 5 (4-Shot)
          type: lighteval/MATH-Hard
          split: test
          args:
            num_few_shot: 4
        metrics:
          - type: exact_match
            value: 22.89
            name: exact match
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=darkc0de%2FBuddyGlassUncensored2025.2
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: GPQA (0-shot)
          type: Idavidrein/gpqa
          split: train
          args:
            num_few_shot: 0
        metrics:
          - type: acc_norm
            value: 10.4
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=darkc0de%2FBuddyGlassUncensored2025.2
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: MuSR (0-shot)
          type: TAUR-Lab/MuSR
          args:
            num_few_shot: 0
        metrics:
          - type: acc_norm
            value: 9.39
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=darkc0de%2FBuddyGlassUncensored2025.2
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: MMLU-PRO (5-shot)
          type: TIGER-Lab/MMLU-Pro
          config: main
          split: test
          args:
            num_few_shot: 5
        metrics:
          - type: acc
            value: 37.07
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=darkc0de%2FBuddyGlassUncensored2025.2
          name: Open LLM Leaderboard

huihui-ai/Falcon3-10B-Instruct-abliterated trained on mlabonne/orpo-dpo-mix-40k for one full epoch

modelcard.md?plain=1

Doc / guide: https://huggingface.co/docs/hub/model-cards

Model Card for {{ model_id | default("Model ID", true) }}

Model Details

Model Description

Developed by: {{ developers | default("[More Information Needed]", true)}}
Funded by [optional]: {{ funded_by | default("[More Information Needed]", true)}}
Shared by [optional]: {{ shared_by | default("[More Information Needed]", true)}}
Model type: {{ model_type | default("[More Information Needed]", true)}}
Language(s) (NLP): {{ language | default("[More Information Needed]", true)}}
License: {{ license | default("[More Information Needed]", true)}}
Finetuned from model [optional]: {{ base_model | default("[More Information Needed]", true)}}

Model Sources [optional]

Repository: {{ repo | default("[More Information Needed]", true)}}
Paper [optional]: {{ paper | default("[More Information Needed]", true)}}
Demo [optional]: {{ demo | default("[More Information Needed]", true)}}

Uses

Direct Use

Downstream Use [optional]

Out-of-Scope Use

{{ out_of_scope_use | default("[More Information Needed]", true)}}

Bias, Risks, and Limitations

{{ bias_risks_limitations | default("[More Information Needed]", true)}}

Recommendations

{{ bias_recommendations | default("Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.", true)}}

How to Get Started with the Model

Use the code below to get started with the model.

{{ get_started_code | default("[More Information Needed]", true)}}

Training Details

Training Data

Training Procedure

Preprocessing [optional]

Training Hyperparameters

Training regime: {{ training_regime | default("[More Information Needed]", true)}}

Speeds, Sizes, Times [optional]

{{ speeds_sizes_times | default("[More Information Needed]", true)}}

Evaluation

Testing Data, Factors & Metrics

Testing Data

Factors

{{ testing_factors | default("[More Information Needed]", true)}}

Metrics

{{ testing_metrics | default("[More Information Needed]", true)}}

Results

Summary

Model Examination [optional]

{{ model_examination | default("[More Information Needed]", true)}}

Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

Hardware Type: {{ hardware_type | default("[More Information Needed]", true)}}
Hours used: {{ hours_used | default("[More Information Needed]", true)}}
Cloud Provider: {{ cloud_provider | default("[More Information Needed]", true)}}
Compute Region: {{ cloud_region | default("[More Information Needed]", true)}}
Carbon Emitted: {{ co2_emitted | default("[More Information Needed]", true)}}

Technical Specifications [optional]

Model Architecture and Objective

Compute Infrastructure

{{ compute_infrastructure | default("[More Information Needed]", true)}}

Hardware

{{ hardware_requirements | default("[More Information Needed]", true)}}

Software

Citation [optional]

BibTeX:

{{ citation_bibtex | default("[More Information Needed]", true)}}

APA:

Glossary [optional]

More Information [optional]

{{ more_information | default("[More Information Needed]", true)}}

Model Card Authors [optional]

{{ model_card_authors | default("[More Information Needed]", true)}}

Model Card Contact

{{ model_card_contact | default("[More Information Needed]", true)}}

Open LLM Leaderboard Evaluation Results

Detailed results can be found here! Summarized results can be found here!

Metric	Value (%)
Average	33.44
IFEval (0-Shot)	77.31
BBH (3-Shot)	43.57
MATH Lvl 5 (4-Shot)	22.89
GPQA (0-shot)	10.40
MuSR (0-shot)	9.39
MMLU-PRO (5-shot)	37.07