license, library_name, tags, base_model, model-index, pipeline_tag

license	library_name	tags	base_model	model-index	pipeline_tag
llama3	transformers	mergekit merge not-for-all-audiences	Hastagaras/Halu-8B-Llama3-Blackroot	name results Halu-8B-Llama3-Blackroot 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 63.82 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Hastagaras/Halu-8B-Llama3-Blackroot 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 84.55 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Hastagaras/Halu-8B-Llama3-Blackroot 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 67.04 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Hastagaras/Halu-8B-Llama3-Blackroot 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 53.28 url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Hastagaras/Halu-8B-Llama3-Blackroot 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 79.48 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Hastagaras/Halu-8B-Llama3-Blackroot 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 70.51 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Hastagaras/Halu-8B-Llama3-Blackroot Open LLM Leaderboard	text-generation

Halu-8B-Llama3-Blackroot-GGUF

This is quantized version of Hastagaras/Halu-8B-Llama3-Blackroot created using llama.cpp

Model Description

VERY IMPORTANT: This model has not been extensively tested or evaluated, and its performance characteristics are currently unknown. It may generate harmful, biased, or inappropriate content. Please exercise caution and use it at your own risk and discretion.

I just tried saishf's merged model, and it's great. So I decided to try a similar merge method with Blackroot's LoRA that I had found earlier.

I don't know what to say about this model... this model is very strange...Maybe because Blackroot's amazing Loras used human data and not synthetic data, hence the model turned out to be very human-like...even the actions or narrations.

WARNING: This model is very unsafe in certain parts...especially in RP.

IMATRIX GGUF IS HERE made available by Lewdiculous

STATIC GGUF IS HERE made avaible by mradermacher

Merge Method

This model was merged using the Model Stock merge method using Hastagaras/Halu-8B-Llama3-v0.3 as a base.

Models Merged

The following models were included in the merge:

• Hastagaras/Halu-8B-Llama3-v0.3 + Blackroot/Llama-3-LongStory-LORA
• Hastagaras/Halu-8B-Llama3-v0.3 + Blackroot/Llama-3-8B-Abomination-LORA

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: Hastagaras/Halu-8B-Llama3-v0.3+Blackroot/Llama-3-LongStory-LORA
  - model: Hastagaras/Halu-8B-Llama3-v0.3+Blackroot/Llama-3-8B-Abomination-LORA
merge_method: model_stock
base_model: Hastagaras/Halu-8B-Llama3-v0.3
dtype: bfloat16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	69.78
AI2 Reasoning Challenge (25-Shot)	63.82
HellaSwag (10-Shot)	84.55
MMLU (5-Shot)	67.04
TruthfulQA (0-shot)	53.28
Winogrande (5-shot)	79.48
GSM8k (5-shot)	70.51