README.md

---
base_model:
- Nitral-Archive/nightwing3-r64-2-latest_test-train-10B
- Nitral-Archive/nightwing3-r64-1-latest_test-train-10B
library_name: transformers
tags:
- mergekit
- merge
license: other
language:
- en
---
# Noticed some weird behavior in 4bpw exl2, not sure if this is contained or a model related issue. However after seeing some recent bugfixes regarding the targetting of lm training heads among a few other things, i will be attemping to retrain this for comparitive sake.

# Base model: (Falcon3-10B)

![image/png](https://cdn-uploads.huggingface.co/production/uploads/642265bc01c62c1e4102dc36/C6gY9vxCl3_SFzQLpLG0S.png)

# Prompt format: ChatML
```
<|im_start|>system
{system_prompt}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant
```

### The following YAML configuration was used to produce this model: (SLERP merge method)

```yaml
slices:
  - sources:
      - model: Nitral-Archive/nightwing3-r64-1-latest_test-train-10B
        layer_range: [0, 40]
      - model: Nitral-Archive/nightwing3-r64-2-latest_test-train-10B
        layer_range: [0, 40]
merge_method: slerp
base_model: Nitral-Archive/nightwing3-r64-1-latest_test-train-10B
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: 0.420
dtype: bfloat16

```