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Panda 7B V0.1 GPTQ by TheBloke

 »  All LLMs  »  TheBloke  »  Panda 7B V0.1 GPTQ   URL Share it on

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  4-bit   Autotrain compatible Base model:neuralnovel/panda-7... Base model:quantized:neuralnov...   Conversational Dataset:neuralnovel/creative-l... Dataset:neuralnovel/neural-sto...   Gptq   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/Panda-7B-v0.1-GPTQ 

Panda 7B V0.1 GPTQ Benchmarks

LLME Score: 0.12949
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 GPTQ (TheBloke/Panda-7B-v0.1-GPTQ)
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Panda 7B V0.1 GPTQ Parameters and Internals

Model Type 
mistral
Use Cases 
Areas:
creative writing, roleplay, logical problem solving
Applications:
instructive and narrative text generation
Limitations:
may not perform well in scenarios unrelated to its intended purpose
Considerations:
The model may exhibit biases or limitations inherent in the training data.
Additional Notes 
Fine-tuned with the intention to generate instructive and narrative text, focusing on combining elements of versatility and nuanced writing capability.
Training Details 
Data Sources:
NeuralNovel/Creative-Logic-Problem-Solver-v1, NeuralNovel/Neural-Story-v1
Training Time:
Trained using NVIDIA Tesla T40 24 GB.
Hardware Used:
NVIDIA Tesla T40 24 GB
LLM NamePanda 7B V0.1 GPTQ
Repository 🤗https://huggingface.co/TheBloke/Panda-7B-v0.1-GPTQ 
Model NamePanda 7B V0.1
Model CreatorLee Jackson
Base Model(s)  NeuralNovel/Panda-7B-v0.1   NeuralNovel/Panda-7B-v0.1
Model Size7b
Required VRAM4.2 GB
Updated2025-09-23
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Panda-7B-v0.1-GPTQ.

Rank the Panda 7B V0.1 GPTQ Capabilities

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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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