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Dictalm2 It Qa Fine Tune by 618AI

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Dictalm2 It Qa Fine Tune is an open-source language model by 618AI. Features: 7.3b LLM, VRAM: 14.5GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.16.

  Autotrain compatible Base model:dicta-il/dictalm2.0... Base model:finetune:dicta-il/d...   Conversational   Endpoints compatible   He   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/618AI/dictalm2-it-qa-fine-tune 

Dictalm2 It Qa Fine Tune Benchmarks

LLME Score: 0.15853
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Dictalm2 It Qa Fine Tune (618AI/dictalm2-it-qa-fine-tune)
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Dictalm2 It Qa Fine Tune Parameters and Internals

Model Type 
Transformer-based, fine-tuned
Supported Languages 
he (Hebrew)
Training Details 
Data Sources:
synthetically generated datasets, existing Q&A datasets wrapped in instruction prompts
LLM NameDictalm2 It Qa Fine Tune
Repository 🤗https://huggingface.co/618AI/dictalm2-it-qa-fine-tune 
Base Model(s)  dicta-il/dictalm2.0-instruct   dicta-il/dictalm2.0-instruct
Model Size7.3b
Required VRAM14.5 GB
Updated2025-11-22
Maintainer618AI
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languageshe
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.1
Tokenizer ClassLlamaTokenizer
Padding Token<pad>
Vocabulary Size33153
Torch Data Typebfloat16

Best Alternatives to Dictalm2 It Qa Fine Tune

Best Alternatives
Context / RAM
Downloads
Likes
Dictalm2.0 Instruct32K / 14.5 GB770825
Dictalm2.0 Instruct Fine Tuned32K / 14.5 GB55640
... Fine Tuned Alpaca Gpt4 Hebrew32K / 14.5 GB51460
Dictalm2.0 Instruct GPTQ32K / 4.2 GB240
Dictalm2.0 Instruct AWQ32K / 4.2 GB150
Note: green Score (e.g. "73.2") means that the model is better than 618AI/dictalm2-it-qa-fine-tune.

Rank the Dictalm2 It Qa Fine Tune 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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