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RichardErkhov/Luni_-_StarDust-12b-v2-gguf
Luni_-_StarDust-12b-v2-gguf is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Downloads · 30 days
127
3% of all-time downloads
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.gguf163 GB · 100%
From the Hugging Face model README
Quantization made by Richard Erkhov.
StarDust-12b-v2 - GGUF
| Name | Quant method | Size |
|---|---|---|
| StarDust-12b-v2.Q2_K.gguf | Q2_K | 4.46GB |
| StarDust-12b-v2.IQ3_XS.gguf | IQ3_XS | 4.94GB |
| StarDust-12b-v2.IQ3_S.gguf | IQ3_S | 5.18GB |
| StarDust-12b-v2.Q3_K_S.gguf | Q3_K_S | 5.15GB |
| StarDust-12b-v2.IQ3_M.gguf | IQ3_M | 5.33GB |
| StarDust-12b-v2.Q3_K.gguf | Q3_K | 5.67GB |
| StarDust-12b-v2.Q3_K_M.gguf | Q3_K_M | 5.67GB |
| StarDust-12b-v2.Q3_K_L.gguf | Q3_K_L | 6.11GB |
| StarDust-12b-v2.IQ4_XS.gguf | IQ4_XS | 6.33GB |
| StarDust-12b-v2.Q4_0.gguf | Q4_0 | 6.59GB |
| StarDust-12b-v2.IQ4_NL.gguf | IQ4_NL | 6.65GB |
| StarDust-12b-v2.Q4_K_S.gguf | Q4_K_S | 6.63GB |
| StarDust-12b-v2.Q4_K.gguf | Q4_K | 6.96GB |
| StarDust-12b-v2.Q4_K_M.gguf | Q4_K_M | 6.96GB |
| StarDust-12b-v2.Q4_1.gguf | Q4_1 | 7.26GB |
| StarDust-12b-v2.Q5_0.gguf | Q5_0 | 7.93GB |
| StarDust-12b-v2.Q5_K_S.gguf | Q5_K_S | 7.93GB |
| StarDust-12b-v2.Q5_K.gguf | Q5_K | 8.13GB |
| StarDust-12b-v2.Q5_K_M.gguf | Q5_K_M | 8.13GB |
| StarDust-12b-v2.Q5_1.gguf | Q5_1 | 8.61GB |
| StarDust-12b-v2.Q6_K.gguf | Q6_K | 9.37GB |
| StarDust-12b-v2.Q8_0.gguf | Q8_0 | 12.13GB |
language:


Just like with v1:
Both Mistral and ChatML should work though I had better results with ChatML: ChatML Example:
"""<|im_start|>user
Hi there!<|im_end|>
<|im_start|>assistant
Nice to meet you!<|im_end|>
<|im_start|>user
Can I ask a question?<|im_end|>
<|im_start|>assistant
"""
This model was merged using the DARE TIES merge method using Sao10K/MN-12B-Lyra-v3 as a base.
The following models were included in the merge:
Special thanks to the SillyTilly and myself for helping me find the energy to finish this.
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 24.06 |
| IFEval (0-Shot) | 56.29 |
| BBH (3-Shot) | 34.95 |
| MATH Lvl 5 (4-Shot) | 5.97 |
| GPQA (0-shot) | 5.82 |
| MuSR (0-shot) | 14.26 |
| MMLU-PRO (5-shot) | 27.10 |