Meltemi 7B Instruct V1 BnB 4bit by ilsp

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Meltemi 7B Instruct V1 BnB 4bit is an open-source language model by ilsp. Features: 7b LLM, VRAM: 4.6GB, Context: 32K, Quantized, Instruction-Based, LLM Explorer Score: 0.14.

  4-bit   4bit   Autotrain compatible   Bitsandbytes   Conversational   Endpoints compatible   Instruct   Mistral   Quantized   Region:us   Safetensors

Meltemi 7B Instruct V1 BnB 4bit Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Meltemi 7B Instruct V1 BnB 4bit (ilsp/Meltemi-7B-Instruct-v1-BnB-4bit)
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Meltemi 7B Instruct V1 BnB 4bit Parameters and Internals

LLM NameMeltemi 7B Instruct V1 BnB 4bit
Repository ๐Ÿค—https://huggingface.co/ilsp/Meltemi-7B-Instruct-v1-BnB-4bit 
Model Size7b
Required VRAM4.6 GB
Updated2025-09-23
Maintainerilsp
Model Typemistral
Instruction-BasedYes
Model Files  4.6 GB
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token<pad>
Vocabulary Size61520
Torch Data Typefloat16

Best Alternatives to Meltemi 7B Instruct V1 BnB 4bit

Best Alternatives
Context / RAM
Downloads
Likes
Mistral 7B Instruct V0.2 Fp1632K / 14.4 GB260
Mistral 7B Instruct V0.2 4bit32K / 4.3 GB1331
...tral 7B Instruct V0.3 Bnb 4bit32K / 4.1 GB3043728
Mistral 7B Instruct V0.2 8bit32K / 7.6 GB41
...tral 7B Instruct V0.2 Bnb 4bit32K / 4.1 GB1256736
Mixtral V0.3 Full 16bit32K / 14.5 GB60
Mistral 7B Instruct V0.3 4bit32K / 4.1 GB250538
... 7B Instruct V0.3ContinuedFine32K / 14.5 GB130
NaturalLM 7B Instruct32K / 14.5 GB1310
...eMistral 7B Instruct Ead 16bit32K / 14.5 GB380
Note: green Score (e.g. "73.2") means that the model is better than ilsp/Meltemi-7B-Instruct-v1-BnB-4bit.

Rank the Meltemi 7B Instruct V1 BnB 4bit 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 v20260328a