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:wrench: update README to annotate only smaller models.
Browse files- README.md +1 -14
- readme-generator/generate.sh +1 -1
README.md
CHANGED
@@ -8,7 +8,6 @@ sdk_version: 4.37.2
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app_file: app.py
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pinned: true
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models:
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- 0-hero/Matter-0.2-32B
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- 123456789ASDFG/Fine_tune_Llama3_for_Midwifery_Study
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- 12thD/I-SOLAR-10.7B-dpo-sft-v0.1
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- 12thD/I-SOLAR-10.7B-dpo-sft-v0.2
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@@ -91,7 +90,6 @@ models:
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- Azure99/blossom-v3-mistral-7b
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- Azure99/blossom-v3_1-mistral-7b
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- Azure99/blossom-v4-mistral-7b
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-
- Azure99/blossom-v5-32b
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- Azure99/blossom-v5-llama3-8b
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- BAAI/Infinity-Instruct-3M-0625-Llama3-8B
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- BCCard/Llama-3-Kor-BCCard-Finance-8B
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@@ -360,7 +358,6 @@ models:
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- Kiddyz/testllm-c2
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361 |
- KingNish/KingNish-Llama3-8b
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362 |
- Knobi3/EvoMerge1
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363 |
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- KnutJaegersberg/Deita-32b
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364 |
- KnutJaegersberg/Llama-3-Deita-8b
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- KnutJaegersberg/MistralInstructLongish
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- KnutJaegersberg/Walter-Mistral-7B
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@@ -571,8 +568,6 @@ models:
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- OpenBuddy/openbuddy-llama3-8b-v21.1-8k
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- OpenBuddy/openbuddy-llama3-8b-v21.2-32k
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573 |
- OpenBuddy/openbuddy-llama3.1-8b-v22.1-131k
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574 |
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- OpenBuddy/openbuddy-qwen1.5-32b-v21.1-32k
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- OpenBuddy/openbuddy-qwen1.5-32b-v21.2-32k
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- OpenLLM-Ro/RoLlama3-8b-Instruct
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577 |
- OpenLLM-Ro/RoMistral-7b-Instruct
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- OpenLLMAI/Llama-2-13b-sft-model-ocra-500k
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@@ -623,8 +618,6 @@ models:
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- PygmalionAI/pygmalion-2-13b
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- QuantumIntelligence/QI-mistral-7B-slerp
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- QuantumIntelligence/QI-neural-chat-7B-ko-DPO
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626 |
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- Qwen/Qwen1.5-32B
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- Qwen/Qwen1.5-32B-Chat
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628 |
- RLHFlow/LLaMA3-SFT
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- RLHFlow/LLaMA3-iterative-DPO-final
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- RLHFlow/pair-preference-model-LLaMA3-8B
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@@ -804,7 +797,6 @@ models:
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- VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct
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- VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct
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806 |
- VAGOsolutions/SauerkrautLM-Nemo-12b-Instruct
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- VAGOsolutions/SauerkrautLM-Qwen-32b
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- VAGOsolutions/SauerkrautLM-SOLAR-Instruct
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- VIRNECT/llama-3-Korean-8B-V2
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- VIRNECT/llama-3-Korean-8B-V3
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@@ -827,7 +819,6 @@ models:
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- Weni/ZeroShot-Agents-Llama3-4.0.11-SFT-merged
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- Weyaxi/CollectiveCognition-v1.1-Nebula-7B
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- Weyaxi/Dolphin-Nebula-7B
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830 |
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- Weyaxi/Einstein-v4-Qwen-1.5-32B
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831 |
- Weyaxi/Einstein-v6.1-LLama3-8B-Instruct-Ties
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832 |
- Weyaxi/HelpSteer-filtered-7B
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833 |
- Weyaxi/HelpSteer-filtered-Solar-Instruct
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@@ -939,7 +930,6 @@ models:
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- aloobun/CosmicBun-8B
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- aloobun/CosmicNoodle-7B
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- aloobun/bun_mistral_7b_v2
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942 |
-
- alpindale/WizardLM-2-8x22B
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943 |
- amazingvince/Not-WizardLM-2-7B
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944 |
- amazon/MegaBeam-Mistral-7B-300k
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- amd/Meta-Llama-3-8B_fp8_quark
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@@ -950,8 +940,6 @@ models:
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- anakin87/yo-Llama-3-8B-Instruct
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- ankhamun/xxxI-Ixxx
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- anthracite-org/magnum-12b-v2
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953 |
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- anthracite-org/magnum-32b-v1
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954 |
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- anthracite-org/magnum-32b-v2
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- antiven0m/reverie-7b
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- argilla/distilabeled-Marcoro14-7B-slerp-full
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- argilla/notus-7b-v1
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@@ -1477,8 +1465,6 @@ models:
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- mesolitica/llama-3-8b-8192-hf
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- mesolitica/malaysian-llama-3-8b-instruct-16k-post
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- meta-llama/Meta-Llama-3-8B-Instruct
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-
- meta-llama/Meta-Llama-3.1-405B
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- meta-llama/Meta-Llama-3.1-405B-Instruct
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- mhenrichsen/hestenettetLM
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- migtissera/Llama-3-8B-Synthia-v3.5
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- migtissera/SynthIA-7B-v1.3
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@@ -1503,6 +1489,7 @@ models:
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- mlabonne/Daredevil-8B
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- mlabonne/Daredevil-8B-abliterated
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- mlabonne/FineLlama-3.1-8B
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- mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated
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- mlabonne/NeuralDaredevil-7B
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- mlabonne/NeuralDaredevil-8B-abliterated
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app_file: app.py
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pinned: true
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models:
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- 123456789ASDFG/Fine_tune_Llama3_for_Midwifery_Study
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- 12thD/I-SOLAR-10.7B-dpo-sft-v0.1
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- 12thD/I-SOLAR-10.7B-dpo-sft-v0.2
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- Azure99/blossom-v3-mistral-7b
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- Azure99/blossom-v3_1-mistral-7b
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- Azure99/blossom-v4-mistral-7b
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- Azure99/blossom-v5-llama3-8b
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- BAAI/Infinity-Instruct-3M-0625-Llama3-8B
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- BCCard/Llama-3-Kor-BCCard-Finance-8B
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358 |
- Kiddyz/testllm-c2
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359 |
- KingNish/KingNish-Llama3-8b
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360 |
- Knobi3/EvoMerge1
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361 |
- KnutJaegersberg/Llama-3-Deita-8b
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362 |
- KnutJaegersberg/MistralInstructLongish
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363 |
- KnutJaegersberg/Walter-Mistral-7B
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568 |
- OpenBuddy/openbuddy-llama3-8b-v21.1-8k
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569 |
- OpenBuddy/openbuddy-llama3-8b-v21.2-32k
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570 |
- OpenBuddy/openbuddy-llama3.1-8b-v22.1-131k
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571 |
- OpenLLM-Ro/RoLlama3-8b-Instruct
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572 |
- OpenLLM-Ro/RoMistral-7b-Instruct
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573 |
- OpenLLMAI/Llama-2-13b-sft-model-ocra-500k
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618 |
- PygmalionAI/pygmalion-2-13b
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619 |
- QuantumIntelligence/QI-mistral-7B-slerp
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620 |
- QuantumIntelligence/QI-neural-chat-7B-ko-DPO
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621 |
- RLHFlow/LLaMA3-SFT
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622 |
- RLHFlow/LLaMA3-iterative-DPO-final
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623 |
- RLHFlow/pair-preference-model-LLaMA3-8B
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797 |
- VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct
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798 |
- VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct
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799 |
- VAGOsolutions/SauerkrautLM-Nemo-12b-Instruct
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- VAGOsolutions/SauerkrautLM-SOLAR-Instruct
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801 |
- VIRNECT/llama-3-Korean-8B-V2
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802 |
- VIRNECT/llama-3-Korean-8B-V3
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819 |
- Weni/ZeroShot-Agents-Llama3-4.0.11-SFT-merged
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820 |
- Weyaxi/CollectiveCognition-v1.1-Nebula-7B
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821 |
- Weyaxi/Dolphin-Nebula-7B
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822 |
- Weyaxi/Einstein-v6.1-LLama3-8B-Instruct-Ties
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823 |
- Weyaxi/HelpSteer-filtered-7B
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824 |
- Weyaxi/HelpSteer-filtered-Solar-Instruct
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930 |
- aloobun/CosmicBun-8B
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931 |
- aloobun/CosmicNoodle-7B
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932 |
- aloobun/bun_mistral_7b_v2
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933 |
- amazingvince/Not-WizardLM-2-7B
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934 |
- amazon/MegaBeam-Mistral-7B-300k
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935 |
- amd/Meta-Llama-3-8B_fp8_quark
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940 |
- anakin87/yo-Llama-3-8B-Instruct
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941 |
- ankhamun/xxxI-Ixxx
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942 |
- anthracite-org/magnum-12b-v2
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943 |
- antiven0m/reverie-7b
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944 |
- argilla/distilabeled-Marcoro14-7B-slerp-full
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945 |
- argilla/notus-7b-v1
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- mesolitica/llama-3-8b-8192-hf
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1466 |
- mesolitica/malaysian-llama-3-8b-instruct-16k-post
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1467 |
- meta-llama/Meta-Llama-3-8B-Instruct
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- mhenrichsen/hestenettetLM
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- migtissera/Llama-3-8B-Synthia-v3.5
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- migtissera/SynthIA-7B-v1.3
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1489 |
- mlabonne/Daredevil-8B
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- mlabonne/Daredevil-8B-abliterated
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1491 |
- mlabonne/FineLlama-3.1-8B
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+
- mlabonne/Meta-Llama-3-8B
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- mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated
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- mlabonne/NeuralDaredevil-7B
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- mlabonne/NeuralDaredevil-8B-abliterated
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readme-generator/generate.sh
CHANGED
@@ -9,7 +9,7 @@ cat << MARKDOWN
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---
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$(cat manual-metadata.yaml)
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$(cat ../model-cache.json \
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-
| jq '[to_entries[] | select(.key | test("70b|72b") | not) | .value[]] | sort | { models: . }' \
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| node -e "
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const fs = require('fs');
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const YAML = require('yaml');
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---
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$(cat manual-metadata.yaml)
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$(cat ../model-cache.json \
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| jq '[to_entries[] | select(.key | test("32b|70b|72b|8x22b|405b") | not) | .value[]] | sort | { models: . }' \
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| node -e "
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const fs = require('fs');
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const YAML = require('yaml');
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