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Indic-gemma-7b-finetuned-sft-Navarasa-2.0-GGUF

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metadata
base_model: Telugu-LLM-Labs/Indic-gemma-7b-finetuned-sft-Navarasa-2.0
datasets:
  - ravithejads/samvaad-hi-filtered
  - Telugu-LLM-Labs/telugu_teknium_GPTeacher_general_instruct_filtered_romanized
  - Telugu-LLM-Labs/telugu_alpaca_yahma_cleaned_filtered_romanized
  - Telugu-LLM-Labs/sindhi_alpaca_yahma_cleaned_filtered
  - Telugu-LLM-Labs/urdu_alpaca_yahma_cleaned_filtered
  - Telugu-LLM-Labs/marathi_alpaca_yahma_cleaned_filtered
  - Telugu-LLM-Labs/assamese_alpaca_yahma_cleaned_filtered
  - Telugu-LLM-Labs/konkani_alpaca_yahma_cleaned_filtered
  - Telugu-LLM-Labs/nepali_alpaca_yahma_cleaned_filtered
  - abhinand/tamil-alpaca
  - Tensoic/airoboros-3.2_kn
  - Tensoic/gpt-teacher_kn
  - VishnuPJ/Alpaca_Instruct_Malayalam
  - Tensoic/Alpaca-Gujarati
  - HydraIndicLM/punjabi_alpaca_52K
  - HydraIndicLM/bengali_alpaca_dolly_67k
  - OdiaGenAI/Odia_Alpaca_instructions_52k
  - yahma/alpaca-cleaned
language:
  - te
  - en
  - ta
  - ml
  - mr
  - hi
  - kn
  - sd
  - ne
  - ur
  - as
  - gu
  - bn
  - pa
  - or
library_name: transformers
license: other
license_link: https://ai.google.dev/gemma/terms
license_name: gemma-terms-of-use
quantized_by: mradermacher

About

static quants of https://huggingface.co/Telugu-LLM-Labs/Indic-gemma-7b-finetuned-sft-Navarasa-2.0

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Indic-gemma-7b-finetuned-sft-Navarasa-2.0-i1-GGUF

Usage

If you are unsure how to use GGUF files, refer to one of TheBloke's READMEs for more details, including on how to concatenate multi-part files.

Provided Quants

(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

Link Type Size/GB Notes
GGUF Q2_K 3.6
GGUF Q3_K_S 4.1
GGUF Q3_K_M 4.5 lower quality
GGUF Q3_K_L 4.8
GGUF Q4_K_S 5.1 fast, recommended
GGUF Q4_K_M 5.4 fast, recommended
GGUF Q5_K_S 6.1
GGUF Q5_K_M 6.2
GGUF Q6_K 7.1 very good quality
GGUF Q8_0 9.2 fast, best quality
GGUF f16 17.2 16 bpw, overkill

Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):

image.png

And here are Artefact2's thoughts on the matter: https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9

FAQ / Model Request

See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized.

Thanks

I thank my company, nethype GmbH, for letting me use its servers and providing upgrades to my workstation to enable this work in my free time. Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.