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RichardErkhov/Undi95_-_ReMM-L2-13B-v1-gguf
Undi95_-_ReMM-L2-13B-v1-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
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.gguf171 GB · 100%
From the Hugging Face model README
Quantization made by Richard Erkhov.
ReMM-L2-13B-v1 - GGUF
| Name | Quant method | Size |
|---|---|---|
| ReMM-L2-13B-v1.Q2_K.gguf | Q2_K | 4.52GB |
| ReMM-L2-13B-v1.IQ3_XS.gguf | IQ3_XS | 4.99GB |
| ReMM-L2-13B-v1.IQ3_S.gguf | IQ3_S | 5.27GB |
| ReMM-L2-13B-v1.Q3_K_S.gguf | Q3_K_S | 5.27GB |
| ReMM-L2-13B-v1.IQ3_M.gguf | IQ3_M | 5.57GB |
| ReMM-L2-13B-v1.Q3_K.gguf | Q3_K | 5.9GB |
| ReMM-L2-13B-v1.Q3_K_M.gguf | Q3_K_M | 5.9GB |
| ReMM-L2-13B-v1.Q3_K_L.gguf | Q3_K_L | 6.45GB |
| ReMM-L2-13B-v1.IQ4_XS.gguf | IQ4_XS | 6.54GB |
| ReMM-L2-13B-v1.Q4_0.gguf | Q4_0 | 6.86GB |
| ReMM-L2-13B-v1.IQ4_NL.gguf | IQ4_NL | 6.9GB |
| ReMM-L2-13B-v1.Q4_K_S.gguf | Q4_K_S | 6.91GB |
| ReMM-L2-13B-v1.Q4_K.gguf | Q4_K | 7.33GB |
| ReMM-L2-13B-v1.Q4_K_M.gguf | Q4_K_M | 7.33GB |
| ReMM-L2-13B-v1.Q4_1.gguf | Q4_1 | 7.61GB |
| ReMM-L2-13B-v1.Q5_0.gguf | Q5_0 | 8.36GB |
| ReMM-L2-13B-v1.Q5_K_S.gguf | Q5_K_S | 8.36GB |
| ReMM-L2-13B-v1.Q5_K.gguf | Q5_K | 8.6GB |
| ReMM-L2-13B-v1.Q5_K_M.gguf | Q5_K_M | 8.6GB |
| ReMM-L2-13B-v1.Q5_1.gguf | Q5_1 | 9.1GB |
| ReMM-L2-13B-v1.Q6_K.gguf | Q6_K | 9.95GB |
| ReMM-L2-13B-v1.Q8_0.gguf | Q8_0 | 12.88GB |
Re:MythoMax (ReMM) is a recreation trial of the original MythoMax-L2-B13 with updated models.
Command useds and explaination :
Due to hardware limitation, some merge was done in 2 part.
- Recreate ReML : Mythologic (v2) (Chronos/Hermes/Airboros)
=> Replacing Chronos by The-Face-Of-Goonery/Chronos-Beluga-v2-13bfp16 (0.30)
=> Replacing Airoboros by jondurbin/airoboros-l2-13b-2.1 (last version) (0.40)
=> Keeping NousResearch/Nous-Hermes-Llama2-13b (0.30)
Part 1: python ties_merge.py TheBloke/Llama-2-13B-fp16 ./ReML-L2-13B-part1 --merge The-Face-Of-Goonery/Chronos-Beluga-v2-13bfp16 --density 0.42 --merge jondurbin/airoboros-l2-13b-2.1 --density 0.56 --cuda
Part 2: python ties_merge.py TheBloke/Llama-2-13B-fp16 ./ReML-L2-13B --merge NousResearch/Nous-Hermes-Llama2-13b --density 0.30 --merge Undi95/ReML-L2-13B-part1 --density 0.70 --cuda
With that :
- Recreate ReMM : MythoMax (v2) (Mythologic/Huginn v1)
=> Replacing Mythologic by the one above (0.5)
=> Replacing Huginn by The-Face-Of-Goonery/Huginn-13b-v1.2 (hottest) (0.5)
Part 3: python ties_merge.py TheBloke/Llama-2-13B-fp16 ./ReMM-L2-13B --merge Undi95/ReML-L2-13B --density 0.50 --merge The-Face-Of-Goonery/Huginn-13b-v1.2 --density 0.50 --cuda
<!-- description start -->
This repo contains fp16 files of ReMM, a recreation of the original MythoMax, but updated.
<!-- description end --> <!-- description start -->Below is an instruction that describes a task. Write a response that appropriately completes the request.
### Instruction:
{prompt}
### Response:
Special thanks to Sushi kek
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 52.58 |
| ARC (25-shot) | 59.73 |
| HellaSwag (10-shot) | 83.1 |
| MMLU (5-shot) | 54.11 |
| TruthfulQA (0-shot) | 49.94 |
| Winogrande (5-shot) | 74.51 |
| GSM8K (5-shot) | 2.96 |
| DROP (3-shot) | 43.7 |