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

language	license	library_name	tags	base_model	model-index
en	apache-2.0	transformers	merge mergekit lazymergekit mistral roleplay ResplendentAI/Datura_7B Epiculous/Mika-7B	ResplendentAI/Datura_7B Epiculous/Mika-7B	name results Foxglove_7B 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 67.83 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=aridoverrun/Foxglove_7B 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 86.57 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=aridoverrun/Foxglove_7B 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 62.89 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=aridoverrun/Foxglove_7B 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 69.64 url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=aridoverrun/Foxglove_7B 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 80.74 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=aridoverrun/Foxglove_7B 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 44.96 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=aridoverrun/Foxglove_7B Open LLM Leaderboard

🌸 Foxglove_7B

Foxglove is a well-rounded RP model. It is smart, does a great job of sticking to character card, and is proficient at following desired markdown.

Foxglove_7B is a merge of the following models using LazyMergekit:

• ResplendentAI/Datura_7B
• Epiculous/Mika-7B

Quantizations

Thanks to mradermacher, static GGUF quants are available here.

Formatting/Preset

Alpaca works best, but Mistral provides good outputs as well.

Configuration

slices:
  - sources:
      - model: ResplendentAI/Datura_7B
        layer_range: [0, 32]
      - model: Epiculous/Mika-7B
        layer_range: [0, 32]
merge_method: slerp
base_model: ResplendentAI/Datura_7B
parameters:
  t:
    - filter: self_attn
      value: [0, 0.7, 0.4, 0.6, 1]  
    - filter: mlp
      value: [0.8, 0.5, 0.7, 0.3, 0]  
    - value: 0.6  
dtype: bfloat16

Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "rmdhirr/Foxglove_7B"
messages = [{"role": "user", "content": "What is a large language model?"}]

tokenizer = AutoTokenizer.from_pretrained(model)
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
pipeline = transformers.pipeline(
    "text-generation",
    model=model,
    torch_dtype=torch.float16,
    device_map="auto",
)

outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	68.77
AI2 Reasoning Challenge (25-Shot)	67.83
HellaSwag (10-Shot)	86.57
MMLU (5-Shot)	62.89
TruthfulQA (0-shot)	69.64
Winogrande (5-shot)	80.74
GSM8k (5-shot)	44.96