Mistral 7B Codealpaca Lora GPTQ by TheBloke

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Mistral 7B Codealpaca Lora GPTQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B Codealpaca Lora GPTQ (TheBloke/Mistral-7B-codealpaca-lora-GPTQ)
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Mistral 7B Codealpaca Lora GPTQ Parameters and Internals

Model Type 
mistral
Training Details 
Data Sources:
theblackcat102/evol-codealpaca-v1
Training Time:
118 hours
Hardware Used:
3xRTX 3090
Model Architecture:
MistralForCausalLM
Input Output 
Input Format:
Below is an instruction that describes a task. Write a response that appropriately completes the request. ### Instruction: {prompt} ### Response:
LLM NameMistral 7B Codealpaca Lora GPTQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/Mistral-7B-codealpaca-lora-GPTQ 
Model NameMistral 7B CodeAlpaca Lora
Model CreatorKamil
Base Model(s)  Mistral 7B Codealpaca Lora   Nondzu/Mistral-7B-codealpaca-lora
Model Size7b
Required VRAM4.2 GB
Updated2025-08-22
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.1
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
LoRA ModelYes
Torch Data Typefloat16

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

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124