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Panda 7B V0.1 by NeuralNovel

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  Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/mistral-7...   Conversational Dataset:neuralnovel/creative-l... Dataset:neuralnovel/neural-sto...   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/NeuralNovel/Panda-7B-v0.1 

Panda 7B V0.1 Benchmarks

ARC: 62.97 vs 96.7 (so35)-34.9%
HellaSwag: 83.76 vs 95.3 (gpt4)-12.1%
MMLU: 60.73 vs 88.3 (so35)-31.2%
TruthfulQA: 66.97 vs 59 (gpt4)13.5%
WinoGrande: 76.24 vs 87.5 (gpt4)-12.9%
GSM8K: 38.67 vs 96.4 (so35)-59.9%
LLME Score: 0.14555
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Panda 7B V0.1 (NeuralNovel/Panda-7B-v0.1)
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Panda 7B V0.1 Parameters and Internals

Use Cases 
Areas:
creative writing, roleplay, logical problem solving
Limitations:
scenarios unrelated to instructive and narrative text generation
Additional Notes 
The model is optimized for creating versatile, engaging, and nuanced text.
Training Details 
Data Sources:
NeuralNovel/Creative-Logic-v1, NeuralNovel/Neural-Story-v1, Panda-v1
Methodology:
Full-parameter fine-tune (FFT)
LLM NamePanda 7B V0.1
Repository 🤗https://huggingface.co/NeuralNovel/Panda-7B-v0.1 
Base Model(s)  mistralai/Mistral-7B-Instruct-v0.2   mistralai/Mistral-7B-Instruct-v0.2
Model Size7b
Required VRAM14.4 GB
Updated2025-09-23
MaintainerNeuralNovel
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

Quantized Models of the Panda 7B V0.1

Model
Likes
Downloads
VRAM
Panda 7B V0.1 GGUF53513 GB
Panda 7B V0.1 GPTQ184 GB
Panda 7B V0.1 AWQ164 GB

Best Alternatives to Panda 7B V0.1

Best Alternatives
Context / RAM
Downloads
Likes
...Nemo Instruct 2407 Abliterated1000K / 24.5 GB14118
SpydazWeb AI HumanAI RP512K / 14.4 GB171
SpydazWeb AI HumanAI 002512K / 14.4 GB181
...daz Web AI ChatML 512K Project512K / 14.5 GB120
... Summarize 64K QLoRANET Merged128K / 4.1 GB60
...1 Summarize 64K LoRANET Merged128K / 14.4 GB110
Mistral 7B Instruct V0.232K / 14.4 GB33160952630
Mistral 7B Instruct V0.132K / 14.4 GB1533091797
Seed X Instruct 7B32K / 15 GB1510123
Mixtral AI CyberCoder32K / 14.3 GB00
Note: green Score (e.g. "73.2") means that the model is better than NeuralNovel/Panda-7B-v0.1.

Rank the Panda 7B V0.1 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  

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Release v20241124
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