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Mistral 7B Code 16K Qlora by Nondzu

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  Autotrain compatible   Conversational   Endpoints compatible   Instruct   Mistral   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Nondzu/Mistral-7B-code-16k-qlora 

Mistral 7B Code 16K Qlora Benchmarks

LLME Score: 0.12608
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B Code 16K Qlora (Nondzu/Mistral-7B-code-16k-qlora)
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Mistral 7B Code 16K Qlora Parameters and Internals

Model Type 
MistralForCausalLM
Additional Notes 
Quantised versions are available.
Training Details 
Data Sources:
nickrosh/Evol-Instruct-Code-80k-v1
Methodology:
adapter: qlora
Context Length:
16384
Training Time:
3x RTX 3090 in my homelab, using around 65kWh
Hardware Used:
3x RTX 3090
LLM NameMistral 7B Code 16K Qlora
Repository 🤗https://huggingface.co/Nondzu/Mistral-7B-code-16k-qlora 
Model Size7b
Required VRAM14.4 GB
Updated2025-09-22
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
Torch Data Typefloat16

Quantized Models of the Mistral 7B Code 16K Qlora

Model
Likes
Downloads
VRAM
Mistral 7B Code 16K Qlora GGUF218243 GB
Mistral 7B Code 16K Qlora GPTQ1564 GB
Mistral 7B Code 16K Qlora AWQ464 GB

Best Alternatives to Mistral 7B Code 16K Qlora

Best Alternatives
Context / RAM
Downloads
Likes
...Nemo Instruct 2407 Abliterated1000K / 24.5 GB14518
SpydazWeb AI HumanAI RP512K / 14.4 GB161
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 GB1501123
Mixtral AI CyberCoder32K / 14.3 GB00
Note: green Score (e.g. "73.2") means that the model is better than Nondzu/Mistral-7B-code-16k-qlora.

Rank the Mistral 7B Code 16K Qlora 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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