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---
base_model:
- macadeliccc/WestLake-7b-v2-laser-truthy-dpo
- mlabonne/AlphaMonarch-7B
library_name: transformers
tags:
- mergekit
- merge
license: cc-by-nc-4.0
---
# MonarchLake-7B
## Description
This repo contains GGUF format model files for MonarchLake-7B.
## Files Provided
| Name | Quant | Bits | File Size | Remark |
| --------------------------- | ------- | ---- | --------- | -------------------------------- |
| monarchlake-7b.IQ3_XXS.gguf | IQ3_XXS | 3 | 3.02 GB | 3.06 bpw quantization |
| monarchlake-7b.IQ3_S.gguf | IQ3_S | 3 | 3.18 GB | 3.44 bpw quantization |
| monarchlake-7b.IQ3_M.gguf | IQ3_M | 3 | 3.28 GB | 3.66 bpw quantization mix |
| monarchlake-7b.Q4_0.gguf | Q4_0 | 4 | 4.11 GB | 3.56G, +0.2166 ppl |
| monarchlake-7b.IQ4_NL.gguf | IQ4_NL | 4 | 4.16 GB | 4.25 bpw non-linear quantization |
| monarchlake-7b.Q4_K_M.gguf | Q4_K_M | 4 | 4.37 GB | 3.80G, +0.0532 ppl |
| monarchlake-7b.Q5_K_M.gguf | Q5_K_M | 5 | 5.13 GB | 4.45G, +0.0122 ppl |
| monarchlake-7b.Q6_K.gguf | Q6_K | 6 | 5.94 GB | 5.15G, +0.0008 ppl |
| monarchlake-7b.Q8_0.gguf | Q8_0 | 8 | 7.70 GB | 6.70G, +0.0004 ppl |
## Parameters
| path | type | architecture | rope_theta | sliding_win | max_pos_embed |
| -------------------------- | ------- | ------------------ | ---------- | ----------- | ------------- |
| macadeliccc/MonarchLake-7B | mistral | MistralForCausalLM | 10000.0 | 4096 | 32768 |
## Benchmarks
# Original Model Card
# MonarchLake-7B
This model equips AlphaMonarch-7B with a strong base of emotional intelligence.
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [macadeliccc/WestLake-7b-v2-laser-truthy-dpo](https://huggingface.co/macadeliccc/WestLake-7b-v2-laser-truthy-dpo)
* [mlabonne/AlphaMonarch-7B](https://huggingface.co/mlabonne/AlphaMonarch-7B)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
slices:
- sources:
- model: mlabonne/AlphaMonarch-7B
layer_range: [0, 32]
- model: macadeliccc/WestLake-7b-v2-laser-truthy-dpo
layer_range: [0, 32]
merge_method: slerp
base_model: mlabonne/AlphaMonarch-7B
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5
dtype: bfloat16
```
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