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Mistral 7B Codealpaca Lora by Nondzu

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

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  Autotrain compatible   Code   Conversational   Endpoints compatible   Instruct   Lora   Mistral   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Nondzu/Mistral-7B-codealpaca-lora 

Mistral 7B Codealpaca Lora Benchmarks

LLME Score: 0.13112
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 (Nondzu/Mistral-7B-codealpaca-lora)
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Mistral 7B Codealpaca Lora Parameters and Internals

Model Type 
MistralForCausalLM
Additional Notes 
Quantized model links provided for downloading via qBittorrent.
Training Details 
Data Sources:
theblackcat102/evol-codealpaca-v1
Context Length:
4096
Training Time:
118 hours
Hardware Used:
3xRTX 3090
Input Output 
Input Format:
Alpaca prompt template
LLM NameMistral 7B Codealpaca Lora
Repository 🤗https://huggingface.co/Nondzu/Mistral-7B-codealpaca-lora 
Model Size7b
Required VRAM14.4 GB
Updated2025-08-22
MaintainerNondzu
Model Typemistral
Instruction-BasedYes
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2   9.9 GB: 1-of-2   4.5 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
LoRA ModelYes
Torch Data Typefloat16

Quantized Models of the Mistral 7B Codealpaca Lora

Model
Likes
Downloads
VRAM
...istral 7B Codealpaca Lora GGUF103743 GB
...istral 7B Codealpaca Lora GPTQ6114 GB
Mistral 7B Codealpaca Lora AWQ574 GB

Best Alternatives to Mistral 7B Codealpaca Lora

Best Alternatives
Context / RAM
Downloads
Likes
...Nemo Instruct 2407 Abliterated1000K / 24.5 GB17218
SpydazWeb AI HumanAI RP512K / 14.4 GB931
SpydazWeb AI HumanAI 002512K / 14.4 GB181
...daz Web AI ChatML 512K Project512K / 14.5 GB120
... Summarize 64K QLoRANET Merged128K / 4.1 GB50
...1 Summarize 64K LoRANET Merged128K / 14.4 GB50
Mistral 7B Instruct V0.232K / 14.4 GB33160952630
Seed X Instruct 7B32K / 15 GB8297122
Mistral 7B Instruct V0.132K / 14.4 GB1931341784
AQUA 7B32K / 14.5 GB5379
Note: green Score (e.g. "73.2") means that the model is better than Nondzu/Mistral-7B-codealpaca-lora.

Rank the Mistral 7B Codealpaca Lora 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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