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Mistral 7B Codealpaca Lora AWQ by TheBloke

 »  All LLMs  »  TheBloke  »  Mistral 7B Codealpaca Lora AWQ   URL Share it on

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  4-bit   Autotrain compatible   Awq Base model:nondzu/mistral-7b-c... Base model:quantized:nondzu/mi...   Code   Conversational   Lora   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/Mistral-7B-codealpaca-lora-AWQ 

Mistral 7B Codealpaca Lora AWQ Benchmarks

LLME Score: 0.11967
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 AWQ (TheBloke/Mistral-7B-codealpaca-lora-AWQ)
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Mistral 7B Codealpaca Lora AWQ Parameters and Internals

Model Type 
mistral
Additional Notes 
The model demonstrates potential in assisting developers as a coding companion.
Training Details 
Data Sources:
theblackcat102/evol-codealpaca-v1
Methodology:
Quantized using AWQ for efficient inference.
Context Length:
4096
Training Time:
118 hours
Hardware Used:
3xRTX 3090
Input Output 
Input Format:
Below is an instruction that describes a task. Write a response that appropriately completes the request. ### Instruction: {prompt} ### Response:
Accepted Modalities:
text
Output Format:
Textual response
LLM NameMistral 7B Codealpaca Lora AWQ
Repository 🤗https://huggingface.co/TheBloke/Mistral-7B-codealpaca-lora-AWQ 
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
AWQ QuantizationYes
Quantization Typeawq
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-AWQ.

Rank the Mistral 7B Codealpaca Lora AWQ 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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Release v20241124
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