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Mistral V0.3 Instruct Matter Slim A by munish0838

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Mistral V0.3 Instruct Matter Slim A is an open-source language model by munish0838. Features: 7b LLM, VRAM: 14.5GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.15.

  4bit Base model:finetune:unsloth/mi... Base model:unsloth/mistral-7b-...   Conversational   En   Endpoints compatible   Instruct   Mistral   Pytorch   Quantized   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/munish0838/Mistral-v0.3-Instruct-Matter-Slim-A 

Mistral V0.3 Instruct Matter Slim A Benchmarks

LLME Score: 0.15077
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral V0.3 Instruct Matter Slim A (munish0838/Mistral-v0.3-Instruct-Matter-Slim-A)
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Mistral V0.3 Instruct Matter Slim A Parameters and Internals

Model Type 
text-generation-inference
Additional Notes 
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
Supported Languages 
en (full support)
Training Details 
Data Sources:
0-hero/Matter-0.1-Slim-A
LLM NameMistral V0.3 Instruct Matter Slim A
Repository 🤗https://huggingface.co/munish0838/Mistral-v0.3-Instruct-Matter-Slim-A 
Base Model(s)  unsloth/mistral-7b-instruct-v0.3-bnb-4bit   unsloth/mistral-7b-instruct-v0.3-bnb-4bit
Model Size7b
Required VRAM14.5 GB
Updated2026-03-14
Maintainermunish0838
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3   5.0 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token[control_768]
Vocabulary Size32768
Torch Data Typefloat16

Best Alternatives to Mistral V0.3 Instruct Matter Slim A

Best Alternatives
Context / RAM
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Likes
...al Nemo Instruct 2407 Bnb 4bit128K / 8.3 GB450229
...tral 7B Instruct V0.3 Bnb 4bit32K / 4.1 GB3043728
Mistral 7B Instruct V0.2 Fp1632K / 14.4 GB260
Mistral 7B Instruct V0.2 4bit32K / 4.3 GB1331
...tral 7B Instruct V0.2 Bnb 4bit32K / 4.1 GB1376233
Mixtral V0.3 Full 16bit32K / 14.5 GB60
Mistral 7B Instruct V0.3 4bit32K / 4.1 GB250538
Mistral 7B Instruct V0.2 8bit32K / 7.6 GB131
... 7B Instruct V0.3ContinuedFine32K / 14.5 GB130
...eMistral 7B Instruct Ead 16bit32K / 14.5 GB380
Note: green Score (e.g. "73.2") means that the model is better than munish0838/Mistral-v0.3-Instruct-Matter-Slim-A.

Rank the Mistral V0.3 Instruct Matter Slim A 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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