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

language	license	library_name	tags	base_model	model-index
en	apache-2.0	transformers	mergekit merge	Nondzu/Mistral-7B-Instruct-v0.2-code-ft NousResearch/Nous-Hermes-2-Mistral-7B-DPO cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO	name results Gonzo-Chat-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 65.02 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Badgids/Gonzo-Chat-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 85.4 normalized accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Badgids/Gonzo-Chat-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 63.75 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Badgids/Gonzo-Chat-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 60.23 url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Badgids/Gonzo-Chat-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 77.74 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Badgids/Gonzo-Chat-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 47.61 accuracy url name https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Badgids/Gonzo-Chat-7B Open LLM Leaderboard

Gonzo-Chat-7B

Gonzo-Chat-7B is a merged LLM based on Mistral v0.01 with a 8192 Context length that likes to chat, roleplay, work with agents, do some lite programming, and then beat the brakes off you in the back alley...

The BEST Open Source 7B Street Fighting LLM of 2024!!!

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	66.63
AI2 Reasoning Challenge (25-Shot)	65.02
HellaSwag (10-Shot)	85.40
MMLU (5-Shot)	63.75
TruthfulQA (0-shot)	60.23
Winogrande (5-shot)	77.74
GSM8k (5-shot)	47.61

LLM-Colosseum Results

All contestents fought using the same LLM-Colosseum default settings. Each contestant fought 25 rounds with every other contestant.

https://github.com/OpenGenerativeAI/llm-colosseum

Gonzo-Chat-7B .vs Mistral v0.2, Dolphon-Mistral v0.2, Deepseek-Coder-6.7b-instruct

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the DARE TIES merge method using eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO as a base.

Models Merged

The following models were included in the merge:

• Nondzu/Mistral-7B-Instruct-v0.2-code-ft
• NousResearch/Nous-Hermes-2-Mistral-7B-DPO
• cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO
    # No parameters necessary for base model
  - model: cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser
    parameters:
      density: 0.53
      weight: 0.4
  - model:  NousResearch/Nous-Hermes-2-Mistral-7B-DPO
    parameters:
      density: 0.53
      weight: 0.3
  - model: Nondzu/Mistral-7B-Instruct-v0.2-code-ft
    parameters:
      density: 0.53
      weight: 0.3
merge_method: dare_ties
base_model: eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO
parameters:
  int8_mask: true
dtype: bfloat16