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Normistral 7B Warm Instruct by norallm

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Normistral 7B Warm Instruct is an open-source language model by norallm. Features: 7b LLM, VRAM: 14.5GB, Context: 4K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.16.

  Chat   Conversational Dataset:cohereforai/aya datase... Dataset:databricks/databricks-... Dataset:glaiveai/glaive-code-a... Dataset:huggingfaceh4/no robot...   Dataset:laion/oig   Dataset:openassistant/oasst1   Dataset:openassistant/oasst2   Endpoints compatible   Gguf   Instruct   Instruction   Mistral   Nb   Nn   No   Norwegian   Pytorch   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/norallm/normistral-7b-warm-instruct 

Normistral 7B Warm Instruct Benchmarks

LLME Score: 0.1564
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Normistral 7B Warm Instruct (norallm/normistral-7b-warm-instruct)
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Normistral 7B Warm Instruct Parameters and Internals

Model Type 
instruction-tuned, text-generation, chat
Use Cases 
Areas:
research, commercial applications
Applications:
text generation, instruction-based chat
Limitations:
work in progress, weights may change, model sensitive to generation parameters
Additional Notes 
The model has been fine-tuned on 4096 context length, and it is the first iteration of instruction-tuning NorMistral models.
Supported Languages 
Norwegian (fluent), Bokmål (fluent), Nynorsk (fluent)
Training Details 
Data Sources:
Aya, OASST 1, OASST 2, OIG-small-chip2, No Robots, Dolly, Glaive code assistant
Methodology:
SFT phase without any preference optimization
Context Length:
4096
Model Architecture:
Mistral
Input Output 
Input Format:
ChatML-like format
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Important to set correct generation parameters (e.g., top_k, top_p, temperature)
LLM NameNormistral 7B Warm Instruct
Repository 🤗https://huggingface.co/norallm/normistral-7b-warm-instruct 
Model Size7b
Required VRAM14.5 GB
Updated2026-03-29
Maintainernorallm
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3   3.5 GB   4.4 GB   5.1 GB   6.0 GB   7.7 GB   14.5 GB
Supported Languagesno nb nn
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.34.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token</s>
Vocabulary Size32768
Torch Data Typebfloat16

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...tral 7B V0.3 Chinese Chat 4bit32K / 4.1 GB872
...tral 7B V0.3 Chinese Chat 8bit32K / 7.7 GB382
Note: green Score (e.g. "73.2") means that the model is better than norallm/normistral-7b-warm-instruct.

Rank the Normistral 7B Warm Instruct Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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