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eren23_-_ogno-monarch-jaskier-merge-7b-OH-PREF-DPO-gguf – AI Model by RichardErkhov | AlphaNeural AI
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eren23_-_ogno-monarch-jaskier-merge-7b-OH-PREF-DPO-gguf
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ogno-monarch-jaskier-merge-7b-OH-PREF-DPO - GGUF
Model creator:
https://huggingface.co/eren23/
Original model:
https://huggingface.co/eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO/
Name
Quant method
Size
ogno-monarch-jaskier-merge-7b-OH-PREF-DPO.Q2_K.gguf
Q2_K
2.53GB
ogno-monarch-jaskier-merge-7b-OH-PREF-DPO.IQ3_XS.gguf
IQ3_XS
2.81GB
ogno-monarch-jaskier-merge-7b-OH-PREF-DPO.IQ3_S.gguf
IQ3_S
2.96GB
ogno-monarch-jaskier-merge-7b-OH-PREF-DPO.Q3_K_S.gguf
Q3_K_S
2.95GB
ogno-monarch-jaskier-merge-7b-OH-PREF-DPO.IQ3_M.gguf
IQ3_M
3.06GB
ogno-monarch-jaskier-merge-7b-OH-PREF-DPO.Q3_K.gguf
Q3_K
3.28GB
ogno-monarch-jaskier-merge-7b-OH-PREF-DPO.Q3_K_M.gguf
Q3_K_M
3.28GB
ogno-monarch-jaskier-merge-7b-OH-PREF-DPO.Q3_K_L.gguf
Q3_K_L
3.56GB
ogno-monarch-jaskier-merge-7b-OH-PREF-DPO.IQ4_XS.gguf
IQ4_XS
3.67GB
ogno-monarch-jaskier-merge-7b-OH-PREF-DPO.Q4_0.gguf
Q4_0
3.83GB
ogno-monarch-jaskier-merge-7b-OH-PREF-DPO.IQ4_NL.gguf
IQ4_NL
3.87GB
ogno-monarch-jaskier-merge-7b-OH-PREF-DPO.Q4_K_S.gguf
Q4_K_S
3.86GB
ogno-monarch-jaskier-merge-7b-OH-PREF-DPO.Q4_K.gguf
Q4_K
4.07GB
ogno-monarch-jaskier-merge-7b-OH-PREF-DPO.Q4_K_M.gguf
Q4_K_M
4.07GB
ogno-monarch-jaskier-merge-7b-OH-PREF-DPO.Q4_1.gguf
Q4_1
4.24GB
ogno-monarch-jaskier-merge-7b-OH-PREF-DPO.Q5_0.gguf
Q5_0
4.65GB
ogno-monarch-jaskier-merge-7b-OH-PREF-DPO.Q5_K_S.gguf
Q5_K_S
4.65GB
ogno-monarch-jaskier-merge-7b-OH-PREF-DPO.Q5_K.gguf
Q5_K
4.78GB
ogno-monarch-jaskier-merge-7b-OH-PREF-DPO.Q5_K_M.gguf
Q5_K_M
4.78GB
ogno-monarch-jaskier-merge-7b-OH-PREF-DPO.Q5_1.gguf
Q5_1
5.07GB
ogno-monarch-jaskier-merge-7b-OH-PREF-DPO.Q6_K.gguf
Q6_K
5.53GB
ogno-monarch-jaskier-merge-7b-OH-PREF-DPO.Q8_0.gguf
Q8_0
7.17GB
Original model description:
language:
en license: cc-by-nc-4.0 library_name: transformers tags:
text-generation-inference datasets:
argilla/OpenHermesPreferences pipeline_tag: text2text-generation model-index:
name: ogno-monarch-jaskier-merge-7b-OH-PREF-DPO results:
task: type: text-generation name: Text Generation dataset: name: AI2 Reasoning Challenge (25-Shot) type: ai2_arc config: ARC-Challenge split: test args: num_few_shot: 25 metrics:
type: acc_norm value: 73.12 name: normalized accuracy source: url:
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO
name: Open LLM Leaderboard
task: type: text-generation name: Text Generation dataset: name: HellaSwag (10-Shot) type: hellaswag split: validation args: num_few_shot: 10 metrics:
type: acc_norm value: 89.09 name: normalized accuracy source: url:
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO
name: Open LLM Leaderboard
task: type: text-generation name: Text Generation dataset: name: MMLU (5-Shot) type: cais/mmlu config: all split: test args: num_few_shot: 5 metrics:
type: acc value: 64.8 name: accuracy source: url:
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO
name: Open LLM Leaderboard
task: type: text-generation name: Text Generation dataset: name: TruthfulQA (0-shot) type: truthful_qa config: multiple_choice split: validation args: num_few_shot: 0 metrics:
type: mc2 value: 77.45 source: url:
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO
name: Open LLM Leaderboard
task: type: text-generation name: Text Generation dataset: name: Winogrande (5-shot) type: winogrande config: winogrande_xl split: validation args: num_few_shot: 5 metrics:
type: acc value: 84.77 name: accuracy source: url:
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO
name: Open LLM Leaderboard
task: type: text-generation name: Text Generation dataset: name: GSM8k (5-shot) type: gsm8k config: main split: test args: num_few_shot: 5 metrics:
type: acc value: 69.45 name: accuracy source: url:
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO
name: Open LLM Leaderboard
Model Card for Model ID
disclaimer
just experimented with the model I had
https://huggingface.co/eren23/ogno-monarch-jaskier-merge-7b
here with the new preferences dataset of argillia here:
https://huggingface.co/datasets/argilla/OpenHermesPreferences
I didn't test the model and the perf wasn't that good when training so use/test it with caution
disclaimer 2
It turns out the model performs well in benchmarks :D
GGUF:
https://huggingface.co/eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO-GGUF
Open LLM Leaderboard Evaluation Results
Detailed results can be found
here
Metric
Value
Avg.
76.45
AI2 Reasoning Challenge (25-Shot)
73.12
HellaSwag (10-Shot)
89.09
MMLU (5-Shot)
64.80
TruthfulQA (0-shot)
77.45
Winogrande (5-shot)
84.77
GSM8k (5-shot)
69.45