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README.md
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base_model: timpal0l/Llama-3-8B-flashback-v1
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language:
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- sv
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- en
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- 'no'
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- da
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license: mit
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pipeline_tag: text-generation
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tags:
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- pretrained
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- flashback
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- web
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- conversational
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widget:
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- text: Jag tycker att det är roligt med
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---
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# catbash/Llama-3-8B-flashback-v1-Q5_K_M-GGUF
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This model was converted to GGUF format from [`timpal0l/Llama-3-8B-flashback-v1`](https://huggingface.co/timpal0l/Llama-3-8B-flashback-v1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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---
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language:
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- sv
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- en
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- 'no'
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- da
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license: mit
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tags:
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- pretrained
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- flashback
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- web
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- conversational
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base_model: meta-llama/Meta-Llama-3-8B
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pipeline_tag: text-generation
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widget:
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- text: Jag tycker att det är roligt med
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# 🦙 Llama-3-8B-flashback-v1-Q5_K_M-GGUF
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Llama-3-8B-flashback-v1 is a continuation of the pretraining process for the base meta-llama/Meta-Llama-3-8B model, utilizing 2 251 233 forum threads from the Swedish website https://www.flashback.org/. Which is rougly 40GB of text.
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It is a full finetune for three epochs.
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# catbash/Llama-3-8B-flashback-v1-Q5_K_M-GGUF
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This model was converted to GGUF format from [`timpal0l/Llama-3-8B-flashback-v1`](https://huggingface.co/timpal0l/Llama-3-8B-flashback-v1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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