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mistral-orpo-beta-GGUF

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Llamacpp quants

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  1. .gitattributes +12 -0
  2. README.md +186 -0
  3. mistral-orpo-beta-Q2_K.gguf +3 -0
  4. mistral-orpo-beta-Q3_K_L.gguf +3 -0
  5. mistral-orpo-beta-Q3_K_M.gguf +3 -0
  6. mistral-orpo-beta-Q3_K_S.gguf +3 -0
  7. mistral-orpo-beta-Q4_0.gguf +3 -0
  8. mistral-orpo-beta-Q4_K_M.gguf +3 -0
  9. mistral-orpo-beta-Q4_K_S.gguf +3 -0
  10. mistral-orpo-beta-Q5_0.gguf +3 -0
  11. mistral-orpo-beta-Q5_K_M.gguf +3 -0
  12. mistral-orpo-beta-Q5_K_S.gguf +3 -0
  13. mistral-orpo-beta-Q6_K.gguf +3 -0
  14. mistral-orpo-beta-Q8_0.gguf +3 -0
.gitattributes CHANGED
@@ -33,3 +33,15 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
 
 
 
 
 
 
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ mistral-orpo-beta-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
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+ mistral-orpo-beta-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
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+ mistral-orpo-beta-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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+ mistral-orpo-beta-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
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+ mistral-orpo-beta-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
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+ mistral-orpo-beta-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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+ mistral-orpo-beta-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
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+ mistral-orpo-beta-Q5_0.gguf filter=lfs diff=lfs merge=lfs -text
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+ mistral-orpo-beta-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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+ mistral-orpo-beta-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
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+ mistral-orpo-beta-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
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+ mistral-orpo-beta-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ language:
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+ - en
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+ license: mit
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+ base_model:
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+ - mistralai/Mistral-7B-v0.1
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+ datasets:
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+ - argilla/ultrafeedback-binarized-preferences-cleaned
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+ pipeline_tag: text-generation
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+ model-index:
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+ - name: Mistral-ORPO-β
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+ results:
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+ # AI2 Reasoning Challenge (25-Shot)
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: AI2 Reasoning Challenge (25-Shot)
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+ type: ai2_arc
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+ config: ARC-Challenge
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+ split: test
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+ args:
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+ num_few_shot: 25
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+ metrics:
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+ - type: acc_norm
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+ name: normalized accuracy
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+ value: 61.18
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+ source:
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+ name: Open LLM Leaderboard
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kaist-ai%2Fmistral-orpo-beta
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+
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+ # HellaSwag (10-shot)
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: HellaSwag (10-Shot)
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+ type: hellaswag
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+ split: validation
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+ args:
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+ num_few_shot: 10
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+ metrics:
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+ - type: acc_norm
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+ name: normalized accuracy
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+ value: 84.03
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+ source:
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+ name: Open LLM Leaderboard
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kaist-ai%2Fmistral-orpo-beta
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+
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+ # TruthfulQA (0-shot)
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: TruthfulQA (0-shot)
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+ type: truthful_qa
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+ config: multiple_choice
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+ split: validation
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+ args:
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+ num_few_shot: 0
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+ metrics:
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+ - type: mc2
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+ value: 47.69
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+ source:
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+ name: Open LLM Leaderboard
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kaist-ai%2Fmistral-orpo-beta
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+
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+ # GSM8k (5-shot)
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: GSM8k (5-shot)
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+ type: gsm8k
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+ config: main
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+ split: test
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+ args:
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+ num_few_shot: 5
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+ metrics:
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+ - type: acc
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+ name: accuracy
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+ value: 39.8
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+ source:
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+ name: Open LLM Leaderboard
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kaist-ai%2Fmistral-orpo-beta
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+
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+ # MMLU (5-Shot)
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: MMLU (5-Shot)
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+ type: cais/mmlu
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+ config: all
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+ split: test
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+ args:
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+ num_few_shot: 5
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+ metrics:
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+ - type: acc
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+ name: accuracy
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+ value: 63.26
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+ source:
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+ name: Open LLM Leaderboard
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kaist-ai%2Fmistral-orpo-beta
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+
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+ # Winogrande (5-shot)
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: Winogrande (5-shot)
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+ type: winogrande
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+ config: winogrande_xl
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+ split: validation
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+ args:
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+ num_few_shot: 5
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+ metrics:
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+ - type: acc
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+ name: accuracy
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+ value: 79.24
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+ source:
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+ name: Open LLM Leaderboard
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kaist-ai%2Fmistral-orpo-beta
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: AlpacaEval 1
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+ type: AlpacaEval
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+ metrics:
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+ - type: AlpacaEval 1.0
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+ value: 91.16%
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+ name: Win Rate
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+ source:
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+ url: https://tatsu-lab.github.io/alpaca_eval/
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+ name: Leaderboard
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: AlpacaEval 2
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+ type: AlpacaEval
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+ metrics:
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+ - type: AlpacaEval 2.0
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+ value: 12.57%
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+ name: Win Rate
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+ source:
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+ url: https://tatsu-lab.github.io/alpaca_eval/
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+ name: Leaderboard
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+ - task:
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+ type: text-generation
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+ dataset:
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+ name: MT-Bench
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+ type: MT-Bench
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+ metrics:
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+ - type: MT-Bench
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+ value: 7.322
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+ name: Score
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+ source:
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+ url: https://github.com/lm-sys/FastChat/blob/main/fastchat/llm_judge/
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+ name: self-reported
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+ quantized_by: bartowski
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+ ---
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+
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+ ## Llamacpp Quantizations of mistral-orpo-beta
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+
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+ Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2440">b2440</a> for quantization.
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+
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+ Original model: https://huggingface.co/kaist-ai/mistral-orpo-beta
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+
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+ Download a file (not the whole branch) from below:
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+
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+ | Filename | Quant type | File Size | Description |
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+ | -------- | ---------- | --------- | ----------- |
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+ | [mistral-orpo-beta-Q8_0.gguf](https://huggingface.co/bartowski/mistral-orpo-beta-GGUF/blob/main/mistral-orpo-beta-Q8_0.gguf) | Q8_0 | 7.69GB | Extremely high quality, generally unneeded but max available quant. |
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+ | [mistral-orpo-beta-Q6_K.gguf](https://huggingface.co/bartowski/mistral-orpo-beta-GGUF/blob/main/mistral-orpo-beta-Q6_K.gguf) | Q6_K | 5.94GB | Very high quality, near perfect, *recommended*. |
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+ | [mistral-orpo-beta-Q5_K_M.gguf](https://huggingface.co/bartowski/mistral-orpo-beta-GGUF/blob/main/mistral-orpo-beta-Q5_K_M.gguf) | Q5_K_M | 5.13GB | High quality, very usable. |
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+ | [mistral-orpo-beta-Q5_K_S.gguf](https://huggingface.co/bartowski/mistral-orpo-beta-GGUF/blob/main/mistral-orpo-beta-Q5_K_S.gguf) | Q5_K_S | 4.99GB | High quality, very usable. |
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+ | [mistral-orpo-beta-Q5_0.gguf](https://huggingface.co/bartowski/mistral-orpo-beta-GGUF/blob/main/mistral-orpo-beta-Q5_0.gguf) | Q5_0 | 4.99GB | High quality, older format, generally not recommended. |
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+ | [mistral-orpo-beta-Q4_K_M.gguf](https://huggingface.co/bartowski/mistral-orpo-beta-GGUF/blob/main/mistral-orpo-beta-Q4_K_M.gguf) | Q4_K_M | 4.36GB | Good quality, similar to 4.25 bpw. |
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+ | [mistral-orpo-beta-Q4_K_S.gguf](https://huggingface.co/bartowski/mistral-orpo-beta-GGUF/blob/main/mistral-orpo-beta-Q4_K_S.gguf) | Q4_K_S | 4.14GB | Slightly lower quality with small space savings. |
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+ | [mistral-orpo-beta-Q4_0.gguf](https://huggingface.co/bartowski/mistral-orpo-beta-GGUF/blob/main/mistral-orpo-beta-Q4_0.gguf) | Q4_0 | 4.10GB | Decent quality, older format, generally not recommended. |
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+ | [mistral-orpo-beta-Q3_K_L.gguf](https://huggingface.co/bartowski/mistral-orpo-beta-GGUF/blob/main/mistral-orpo-beta-Q3_K_L.gguf) | Q3_K_L | 3.82GB | Lower quality but usable, good for low RAM availability. |
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+ | [mistral-orpo-beta-Q3_K_M.gguf](https://huggingface.co/bartowski/mistral-orpo-beta-GGUF/blob/main/mistral-orpo-beta-Q3_K_M.gguf) | Q3_K_M | 3.51GB | Even lower quality. |
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+ | [mistral-orpo-beta-Q3_K_S.gguf](https://huggingface.co/bartowski/mistral-orpo-beta-GGUF/blob/main/mistral-orpo-beta-Q3_K_S.gguf) | Q3_K_S | 3.16GB | Low quality, not recommended. |
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+ | [mistral-orpo-beta-Q2_K.gguf](https://huggingface.co/bartowski/mistral-orpo-beta-GGUF/blob/main/mistral-orpo-beta-Q2_K.gguf) | Q2_K | 2.71GB | Extremely low quality, *not* recommended.
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+
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+ Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski
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