ModelHub XC 92a6a86f47 初始化项目,由ModelHub XC社区提供模型
Model: NeuralNovel/Gecko-7B-v0.1
Source: Original Platform
2026-06-27 21:33:18 +08:00

license, library_name, base_model, inference, model-index
license library_name base_model inference model-index
apache-2.0 transformers mistralai/Mistral-7B-Instruct-v0.2 false
name results
Gecko-7B-v0.1
task dataset metrics source
type name
text-generation Text Generation
name type config split args
AI2 Reasoning Challenge (25-Shot) ai2_arc ARC-Challenge test
num_few_shot
25
type value name
acc_norm 61.35 normalized accuracy
url name
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=NeuralNovel/Gecko-7B-v0.1 Open LLM Leaderboard
task dataset metrics source
type name
text-generation Text Generation
name type split args
HellaSwag (10-Shot) hellaswag validation
num_few_shot
10
type value name
acc_norm 83.36 normalized accuracy
url name
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=NeuralNovel/Gecko-7B-v0.1 Open LLM Leaderboard
task dataset metrics source
type name
text-generation Text Generation
name type config split args
MMLU (5-Shot) cais/mmlu all test
num_few_shot
5
type value name
acc 61.05 accuracy
url name
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=NeuralNovel/Gecko-7B-v0.1 Open LLM Leaderboard
task dataset metrics source
type name
text-generation Text Generation
name type config split args
TruthfulQA (0-shot) truthful_qa multiple_choice validation
num_few_shot
0
type value
mc2 62.6
url name
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=NeuralNovel/Gecko-7B-v0.1 Open LLM Leaderboard
task dataset metrics source
type name
text-generation Text Generation
name type config split args
Winogrande (5-shot) winogrande winogrande_xl validation
num_few_shot
5
type value name
acc 77.58 accuracy
url name
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=NeuralNovel/Gecko-7B-v0.1 Open LLM Leaderboard
task dataset metrics source
type name
text-generation Text Generation
name type config split args
GSM8k (5-shot) gsm8k main test
num_few_shot
5
type value name
acc 41.55 accuracy
url name
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=NeuralNovel/Gecko-7B-v0.1 Open LLM Leaderboard

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Gecko-7B-v0.1

Designed to generate instructive and narrative text, with a focus on mathematics & numeracy.

Full-parameter fine-tune (FFT) of Mistral-7B-Instruct-v0.2, with apache-2.0 license.

You may download and use this model for research, training and commercial purposes.

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Data-set

The model was finetuned using the Neural-Mini-Math dataset (Currently Private)

Summary

Fine-tuned with the intention of following all prompt directions, making it more suitable for roleplay and problem solving.

Out-of-Scope Use

The model may not perform well in scenarios unrelated to instructive and narrative text generation. Misuse or applications outside its designed scope may result in suboptimal outcomes.

Bias, Risks, and Limitations

This model may not work as intended. As such all users are encouraged to use this model with caution and respect.

This model is for testing and research purposes only, it has reduced levels of alignment and as a result may produce NSFW or harmful content. The user is responsible for their output and must use this model responsibly.

Hardware and Training


  n_epochs = 3,
  n_checkpoints = 3,
  batch_size = 12,
  learning_rate = 1e-5,


Sincere appreciation to Techmind for their generous sponsorship.

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 64.58
AI2 Reasoning Challenge (25-Shot) 61.35
HellaSwag (10-Shot) 83.36
MMLU (5-Shot) 61.05
TruthfulQA (0-shot) 62.60
Winogrande (5-shot) 77.58
GSM8k (5-shot) 41.55
Description
Model synced from source: NeuralNovel/Gecko-7B-v0.1
Readme 511 KiB