LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  LLM  List    LLM Hosting    LLM Leaderboards    Blog    Newsfeed    Advertise

YamshadowExperiment28 7B by automerger

 »  All LLMs  »  automerger  »  YamshadowExperiment28 7B   URL Share it on

  3234   
  Merged Model   Autotrain compatible Base model:yam-peleg/experimen...   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/automerger/YamshadowExperiment28-7B 

YamshadowExperiment28 7B Benchmarks

MMLU Pro: 22.89
GPQA: 4.92
MUSR: 12.69
BBH: 31.98
IFEval: 40.7 vs 88 (so35)-53.8%
ARC: 73.29 vs 96.7 (so35)-24.2%
HellaSwag: 89.25 vs 95.3 (gpt4)-6.3%
MMLU: 64.38 vs 88.3 (so35)-27.1%
TruthfulQA: 78.53 vs 59 (gpt4)33.1%
WinoGrande: 85.24 vs 87.5 (gpt4)-2.6%
GSM8K: 70.51 vs 96.4 (so35)-26.9%
MATH Lvl 5: 6.19
LLME Score: 0.27222
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
YamshadowExperiment28 7B (automerger/YamshadowExperiment28-7B)

YamshadowExperiment28 7B Parameters and Internals

Model Type 
text generation
Use Cases 
Applications:
research, commercial applications
Primary Use Cases:
chat-based applications
Limitations:
Overfitting to specific benchmarks.
Additional Notes 
The model's excellent results on benchmark tests may be indicative of overfitting.
Training Details 
Methodology:
Merge technique: SLERP between layers of two models
Context Length:
8000
Input Output 
Input Format:
Alpaca chat template
Accepted Modalities:
text
Output Format:
text
Performance Tips:
The model can sometimes break and output a lot of "INST."
LLM NameYamshadowExperiment28 7B
Repository 🤗https://huggingface.co/automerger/YamshadowExperiment28-7B 
Base Model(s)  YamShadow 7B   Experiment28 7B   automerger/YamShadow-7B   yam-peleg/Experiment28-7B
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2025-02-05
Maintainerautomerger
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the YamshadowExperiment28 7B

Model
Likes
Downloads
VRAM
YamshadowExperiment28 7B GGUF01182 GB

Best Alternatives to YamshadowExperiment28 7B

Best Alternatives
Context / RAM
Downloads
Likes
...Nemo Instruct 2407 Abliterated1000K / 24.5 GB522710
MegaBeam Mistral 7B 512K512K / 14.4 GB655449
SpydazWeb AI HumanAI RP512K / 14.4 GB51
SpydazWeb AI HumanAI 002512K / 14.4 GB181
...daz Web AI ChatML 512K Project512K / 14.5 GB120
MegaBeam Mistral 7B 300K282K / 14.4 GB647215
Hebrew Mistral 7B 200K256K / 30 GB489915
Astral 256K 7B V2250K / 14.4 GB60
Astral 256K 7B250K / 14.4 GB50
Test001128K / 14.5 GB90
Note: green Score (e.g. "73.2") means that the model is better than automerger/YamshadowExperiment28-7B.

Rank the YamshadowExperiment28 7B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

What open-source LLMs or SLMs are you in search of? 42577 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
  Support LLM Explorer