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Dictalm2.0 Instruct GPTQ by dicta-il

 »  All LLMs  »  dicta-il  »  Dictalm2.0 Instruct GPTQ   URL Share it on

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  Arxiv:2407.07080   4-bit   Autotrain compatible   Base model:dicta-il/dictalm2.0 Base model:quantized:dicta-il/...   Conversational   En   Gptq   He   Instruct   Instruction-tuned   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/dicta-il/dictalm2.0-instruct-GPTQ 

Dictalm2.0 Instruct GPTQ Benchmarks

LLME Score: 0.19285
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Dictalm2.0 Instruct GPTQ (dicta-il/dictalm2.0-instruct-GPTQ)

Dictalm2.0 Instruct GPTQ Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
research, commercial applications
Limitations:
does not have any moderation mechanisms
Considerations:
Looking forward to engaging with the community on ways to add moderation.
Supported Languages 
English (proficient), Hebrew (proficient)
Training Details 
Data Sources:
conversation datasets
Methodology:
follows the Zephyr-7B-beta recipe for fine-tuning an instruct model with an extended instruct dataset for Hebrew
Model Architecture:
GPTQ 4-bit quantized version
Input Output 
Input Format:
Prompts should be surrounded by [INST] and [/INST] tokens.
Accepted Modalities:
text
LLM NameDictalm2.0 Instruct GPTQ
Repository 🤗https://huggingface.co/dicta-il/dictalm2.0-instruct-GPTQ 
Base Model(s)  dicta-il/dictalm2.0   dicta-il/dictalm2.0
Model Size1.2b
Required VRAM4.2 GB
Updated2024-12-26
Maintainerdicta-il
Model Typemistral
Instruction-BasedYes
Model Files  4.2 GB
Supported Languagesen he
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size33152
Torch Data Typebfloat16

Best Alternatives to Dictalm2.0 Instruct GPTQ

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Dictalm2.0 Instruct AWQ32K / 4.2 GB5550
Note: green Score (e.g. "73.2") means that the model is better than dicta-il/dictalm2.0-instruct-GPTQ.

Rank the Dictalm2.0 Instruct GPTQ 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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