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noopSD/maywell_kiqu-70b-GGUF
maywell_kiqu-70b-GGUF is a text generation model from noopSD. Use it when you need the model to write or continue text. It is set up for GGUF. The card lists the license as cc-by-sa-4.0.
This repo contains quantized large language model(LLM) weight files in GGUF format for maywell/kiqu-70b. The IQ quantized model files are calibrated with 20krandomdata.txt
Downloads · 30 days
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From the Hugging Face model README
This repo contains quantized large language model(LLM) weight files in GGUF format for maywell/kiqu-70b. The IQ quantized model files are calibrated with 20k_random_data.txt
| Quant Type | Size | BPW | Perplexity |
|---|---|---|---|
| IQ1_S | 14.5 GB | 1.5625 – 1.69 | 16.5308 +/- 0.13137 |
| IQ2_XXS | 18.3 GB | 2.0625 – 2.12 | 12.1174 +/- 0.09202 |
| IQ2_XS | 20.3 GB | 2.3125 – 2.36 | 11.2679 +/- 0.08525 |
| IQ3_XXS | 27 GB | 3.0625 – 3.13 | 10.0546 +/- 0.07674 |
| Q2_K | 25.5 GB | 2.95 | 4.2965 +/- 0.02164 |
| Q4_0 | 38.9 GB | 4.51 | 3.7527 +/- 0.01835 |
| Q5_K_M | 48.8 GB | 5.65 | 3.7237 +/- 0.01833 |
kiqu-70b is a SFT+DPO trained model based on Miqu-70B-Alpaca-DPO using Korean datasets.
Since this model is finetune of miqu-1-70b using it on commercial purposes is at your own risk. — leaked early version Mistral-Medium
본 모델 kiqu-70b는 Miqu-70B-Alpaca-DPO 모델을 기반으로 한국어 데이터셋을 사용하여 SFT+DPO 훈련을 진행하여 제작되었습니다.
베이스 모델인 miqu-1-70b 모델이 미스트랄-미디움의 초기 유출 버전이기에 상업적 사용에 대한 risk는 본인에게 있습니다.
Beside that this model follows cc-by-sa-4.0
본 모델 자체로서는 cc-by-sa-4.0을 따릅니다.
Base Model
miqu-1-70b (Early Mistral-Medium)
Instruction format
It follows Mistral format. Giving few-shots to model is highly recommended
본 모델은 미스트랄 포맷을 따릅니다. few-shot 사용을 적극 권장합니다.
[INST] {instruction}
[/INST] {output}
Multi-shot
[INST] {instruction}
[/INST] {output}
[INST] {instruction}
[/INST] {output}
[INST] {instruction}
[/INST] {output}
.
.
.
Recommended Template - 1-shot with system prompt
너는 kiqu-70B라는 한국어에 특화된 언어모델이야. 깔끔하고 자연스럽게 대답해줘!
[INST] 안녕?
[/INST] 안녕하세요! 무엇을 도와드릴까요? 질문이나 궁금한 점이 있다면 언제든지 말씀해주세요.
[INST] {instruction}
[/INST]
Trailing space after [/INST] can affect models performance in significant margin. So, when doing inference it is recommended to not include trailing space in chat template.
[/INST] 뒤에 띄어쓰기는 모델 성능에 유의미한 영향을 미칩니다. 따라서, 인퍼런스(추론)과정에서는 챗 템플릿에 띄어쓰기를 제외하는 것을 적극 권장합니다.
TBD
This model's training got sponsered by no one but support from people around Earth.
Contact Me on Discord - is.maywell
Follow me on twitter - https://twitter.com/stablefluffy