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RichardErkhov/allknowingroger_-_Chocolatine-24B-gguf
allknowingroger_-_Chocolatine-24B-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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.gguf319 GB · 100%
From the Hugging Face model README
Quantization made by Richard Erkhov.
Chocolatine-24B - GGUF
| Name | Quant method | Size |
|---|---|---|
| Chocolatine-24B.Q2_K.gguf | Q2_K | 8.25GB |
| Chocolatine-24B.IQ3_XS.gguf | IQ3_XS | 9.32GB |
| Chocolatine-24B.IQ3_S.gguf | IQ3_S | 9.74GB |
| Chocolatine-24B.Q3_K_S.gguf | Q3_K_S | 9.74GB |
| Chocolatine-24B.IQ3_M.gguf | IQ3_M | 10.4GB |
| Chocolatine-24B.Q3_K.gguf | Q3_K | 11.15GB |
| Chocolatine-24B.Q3_K_M.gguf | Q3_K_M | 11.15GB |
| Chocolatine-24B.Q3_K_L.gguf | Q3_K_L | 12.06GB |
| Chocolatine-24B.IQ4_XS.gguf | IQ4_XS | 12.12GB |
| Chocolatine-24B.Q4_0.gguf | Q4_0 | 12.71GB |
| Chocolatine-24B.IQ4_NL.gguf | IQ4_NL | 12.8GB |
| Chocolatine-24B.Q4_K_S.gguf | Q4_K_S | 12.8GB |
| Chocolatine-24B.Q4_K.gguf | Q4_K | 13.78GB |
| Chocolatine-24B.Q4_K_M.gguf | Q4_K_M | 13.78GB |
| Chocolatine-24B.Q4_1.gguf | Q4_1 | 14.11GB |
| Chocolatine-24B.Q5_0.gguf | Q5_0 | 15.51GB |
| Chocolatine-24B.Q5_K_S.gguf | Q5_K_S | 15.51GB |
| Chocolatine-24B.Q5_K.gguf | Q5_K | 16.23GB |
| Chocolatine-24B.Q5_K_M.gguf | Q5_K_M | 16.23GB |
| Chocolatine-24B.Q5_1.gguf | Q5_1 | 16.91GB |
| Chocolatine-24B.Q6_K.gguf | Q6_K | 18.48GB |
| Chocolatine-24B.Q8_0.gguf | Q8_0 | 23.93GB |
license: apache-2.0 library_name: transformers tags:
This is a merge of pre-trained language models created using mergekit.
This model was merged using the passthrough merge method.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: jpacifico/Chocolatine-14B-Instruct-DPO-v1.2
layer_range: [0, 39]
- sources:
- model: jpacifico/Chocolatine-14B-Instruct-DPO-v1.2
layer_range: [8, 39]
merge_method: passthrough
dtype: float16
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 21.33 |
| IFEval (0-Shot) | 19.58 |
| BBH (3-Shot) | 45.79 |
| MATH Lvl 5 (4-Shot) | 0.00 |
| GPQA (0-shot) | 10.07 |
| MuSR (0-shot) | 12.94 |
| MMLU-PRO (5-shot) | 39.62 |