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---
license: cc-by-nc-4.0
library_name: transformers
tags:
- mergekit
- merge
base_model:
- grimjim/Mistral-Starling-merge-trial1-7B
- grimjim/kukulemon-7B
pipeline_tag: text-generation
model-index:
- name: cuckoo-starling-7B
results:
- task:
type: text-generation
name: Text Generation
dataset:
name: AI2 Reasoning Challenge (25-Shot)
type: ai2_arc
config: ARC-Challenge
split: test
args:
num_few_shot: 25
metrics:
- type: acc_norm
value: 66.81
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=grimjim/cuckoo-starling-7B
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: HellaSwag (10-Shot)
type: hellaswag
split: validation
args:
num_few_shot: 10
metrics:
- type: acc_norm
value: 85.97
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=grimjim/cuckoo-starling-7B
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MMLU (5-Shot)
type: cais/mmlu
config: all
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 64.88
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=grimjim/cuckoo-starling-7B
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: TruthfulQA (0-shot)
type: truthful_qa
config: multiple_choice
split: validation
args:
num_few_shot: 0
metrics:
- type: mc2
value: 59.03
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=grimjim/cuckoo-starling-7B
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: Winogrande (5-shot)
type: winogrande
config: winogrande_xl
split: validation
args:
num_few_shot: 5
metrics:
- type: acc
value: 80.11
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=grimjim/cuckoo-starling-7B
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: GSM8k (5-shot)
type: gsm8k
config: main
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 62.77
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=grimjim/cuckoo-starling-7B
name: Open LLM Leaderboard
---
# cuckoo-starling-32k-7B
For this merged model, rope theta was in config.json was manually adjusted down to 100K, a value less than 1M as initially released by Mistral for v0.2, but higher than the 10K that accompanied practical 8K context for v0.1. We idly conjecture that 1M rope theta might improve performance for needle-in-a-haystack queries; however, during informal testing, narrative coherence seemed to occasionally suffer under 1M rope theta. Furthermore, the results reported in the arXiv paper [Scaling Laws of RoPE-based Extrapolation](https://arxiv.org/abs/2310.05209) suggest that 1M rope theta may be overkill for a 32K token context window.
Lightly tested with temperature 0.9-1.0 and minP 0.02, using ChatML prompts. The model natively supports Alpaca prompts.
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
- Full weights: [grimjim/cuckoo-starling-32k-7B](https://huggingface.co/grimjim/cuckoo-starling-32k-7B/)
- GGUFs: [grimjim/cuckoo-starling-32k-7B-GGUF](https://huggingface.co/grimjim/cuckoo-starling-32k-7B-GGUF/)
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [grimjim/Mistral-Starling-merge-trial1-7B](https://huggingface.co/grimjim/Mistral-Starling-merge-trial1-7B)
* [grimjim/kukulemon-7B](https://huggingface.co/grimjim/kukulemon-7B)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
slices:
- sources:
- model: grimjim/Mistral-Starling-merge-trial1-7B
layer_range: [0, 32]
- model: grimjim/kukulemon-7B
layer_range: [0, 32]
# or, the equivalent models: syntax:
# models:
merge_method: slerp
base_model: grimjim/Mistral-Starling-merge-trial1-7B
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 # fallback for rest of tensors
dtype: bfloat16
```
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_grimjim__cuckoo-starling-7B)
| Metric |Value|
|---------------------------------|----:|
|Avg. |69.93|
|AI2 Reasoning Challenge (25-Shot)|66.81|
|HellaSwag (10-Shot) |85.97|
|MMLU (5-Shot) |64.88|
|TruthfulQA (0-shot) |59.03|
|Winogrande (5-shot) |80.11|
|GSM8k (5-shot) |62.77|
|