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---
license: llama2
tags:
- mergekit
- merge
model-index:
- name: WinterGoddess-1.4x-70b-32k
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: 71.16
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChuckMcSneed/WinterGoddess-1.4x-70b-32k
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: 89.12
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChuckMcSneed/WinterGoddess-1.4x-70b-32k
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: 66.42
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChuckMcSneed/WinterGoddess-1.4x-70b-32k
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: 63.87
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChuckMcSneed/WinterGoddess-1.4x-70b-32k
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: 82.56
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChuckMcSneed/WinterGoddess-1.4x-70b-32k
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: 43.29
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ChuckMcSneed/WinterGoddess-1.4x-70b-32k
name: Open LLM Leaderboard
---
This is a 32k version of Sao10K/WinterGoddess-1.4x-70B-L2, extended using method discussed [here](https://huggingface.co/grimulkan/aurelian-v0.5-70b-rope8-32K-fp16/discussions/2).
# Quants
Thanks for GGUF, [@Nexesenex](https://huggingface.co/Nexesenex)!
- [GGUF](https://huggingface.co/Nexesenex/ChuckMcSneed_WinterGoddess-1.4x-70b-32k-iMat.GGUF)
# Benchmarks
### NeoEvalPlusN_benchmark
[My meme benchmark.](https://huggingface.co/datasets/ChuckMcSneed/NeoEvalPlusN_benchmark)
| Test name | WinterGoddess | WinterGoddess-32k |
| ---------- | ---------- | ------- |
| B | 2 | 2.5 |
| C | 1.5 | 2 |
| D | 3 | 0 |
| S | 2.75 | 1.5 |
| P | 5.5 | 2.25 |
| Total | 14.75 | 8.25 |
### [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
[Leaderboard on Huggingface](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
|Model |Average|ARC |HellaSwag|MMLU |TruthfulQA|Winogrande|GSM8K|
|---------------------------------------|-------|-----|---------|-----|----------|----------|-----|
|Sao10K/WinterGoddess-1.4x-70B-L2 |73.23 |72.78|90.11 |71.12|65.76 |85 |54.59|
|ChuckMcSneed/WinterGoddess-1.4x-70b-32k|69.4 |71.16|89.12 |66.42|63.87 |82.56 |43.29|
|Difference |3.83 |1.62 |0.99 |4.7 |1.89 |2.44 |11.3 |
Here the losses seem far less brutal than on my bench. It seems that extending with LongLORA kills MMLU and GSM8K performance.
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_ChuckMcSneed__WinterGoddess-1.4x-70b-32k)
| Metric |Value|
|---------------------------------|----:|
|Avg. |69.40|
|AI2 Reasoning Challenge (25-Shot)|71.16|
|HellaSwag (10-Shot) |89.12|
|MMLU (5-Shot) |66.42|
|TruthfulQA (0-shot) |63.87|
|Winogrande (5-shot) |82.56|
|GSM8k (5-shot) |43.29|
|