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winter-garden-7b-alpha/README.md
ModelHub XC b5d9984ea8 初始化项目,由ModelHub XC社区提供模型
Model: maldv/winter-garden-7b-alpha
Source: Original Platform
2026-07-02 04:18:17 +08:00

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license, tags, pipeline_tag, base_model, model-index
license tags pipeline_tag base_model model-index
cc-by-nc-4.0
merge
conversational
multi-task
text-generation
paulml/OmniBeagleSquaredMBX-v3-7B
ZySec-AI/ZySec-7B-v1
liminerity/Omningotex-7b-slerp
localfultonextractor/Erosumika-7B
KatyTheCutie/LemonadeRP-4.5.3
cgato/Thespis-Krangled-7b
CorticalStack/pastiche-crown-clown-7b-dare
snorkelai/Snorkel-Mistral-PairRM-DPO
MTSAIR/multi_verse_model
name results
winter-garden-7b-alpha - "Smart Assistant"
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 65.19 normalized accuracy
url name
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=maldv/winter-garden-7b-alpha 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 85.36 normalized accuracy
url name
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=maldv/winter-garden-7b-alpha 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 65.2 accuracy
url name
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=maldv/winter-garden-7b-alpha 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 50.94
url name
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=maldv/winter-garden-7b-alpha 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 80.35 accuracy
url name
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=maldv/winter-garden-7b-alpha 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 54.44 accuracy
url name
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=maldv/winter-garden-7b-alpha Open LLM Leaderboard

Winter Garden 7B - α - "Smart Assistant"

It was mentioned that we are in the open ai dark winter; so I thought I would make myself a nice winter garden.

An experiment

I've merged four partitions successfully in the past, so lets go for 9! I started with:

  • Mistral-7B-v0.1

and merged in

  • OmniBeagleSquaredMBX-v3-7B
  • ZySec-7B-v1
  • Omningotex-7b-slerp
  • Erosumika-7B
  • LemonadeRP-4.5.3
  • Thespis-Krangled-7b
  • pastiche-crown-clown-7b-dare
  • Snorkel-Mistral-PairRM-DPO
  • multi_verse_model

9-partition merge

All of the layers were partitioned in to 9 random bins. Alternating models were slerped at [0...1], and [1...0] gradients; except attention, which was slerped at 0.03.

This means that the model is still predominantly ordered around base mistral - including half of the input and output layers, and 28% of attention.

Other

Includes fast tokenizer.

Chat Template

I put a conversational chat template, which takes "name", "to" (optional), and "content" as the turns. It is designed to follow a transcript style chat which is used by some of the models. This type of use-case is best done by outlining a scene and creating a character card.

### {% title %}
{% metadata %}

USER: Hello

ASSISTANT: Hi, how are you?

It leans to being a coder when given an ### Instruction, follows <s>[INST][/INST], and likes <|user|>, <|assistant|> as well.

A quite cheery and intelligent model. Very good with science and math, but still capable of a decent amount of creativity for a 7b model.

Scores

Metric Score
Average 66.91
ARC 65.19
HellaSwag 85.36
MMLU 65.2
TruthfulQA 50.94
Winogrande 80.35
GSM8K 54.44

Details