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Mistral 7B Code 16K Qlora AWQ by TheBloke

 »  All LLMs  »  TheBloke  »  Mistral 7B Code 16K Qlora 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...   Conversational   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/Mistral-7B-Code-16K-qlora-AWQ 

Mistral 7B Code 16K Qlora AWQ Benchmarks

LLME Score: 0.11466
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 AWQ (TheBloke/Mistral-7B-Code-16K-qlora-AWQ)
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Mistral 7B Code 16K Qlora AWQ Parameters and Internals

Model Type 
mistral
Additional Notes 
The model is designed for efficient, accurate, and fast low-bit weight quantization using AWQ, supporting 4-bit quantization.
Training Details 
Data Sources:
nickrosh/Evol-Instruct-Code-80k-v1
Methodology:
Quantization using qLoRA and AWQ
Context Length:
16384
Hardware Used:
3x RTX 3090 GPUs
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 Code 16K Qlora AWQ
Repository 🤗https://huggingface.co/TheBloke/Mistral-7B-Code-16K-qlora-AWQ 
Model NameMistral 7B Code 16K qLoRA
Model CreatorKamil
Base Model(s)  Mistral 7B Code 16K Qlora   Nondzu/Mistral-7B-code-16k-qlora
Model Size7b
Required VRAM4.2 GB
Updated2025-09-22
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Mistral-7B-Code-16K-qlora-AWQ.

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Release v20241124
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