Model Type |
| ||||||
Use Cases |
| ||||||
Additional Notes |
| ||||||
Supported Languages |
| ||||||
Training Details |
| ||||||
Input Output |
|
LLM Name | Dictalm2.0 Instruct AWQ |
Repository ๐ค | https://huggingface.co/dicta-il/dictalm2.0-instruct-AWQ |
Base Model(s) | |
Model Size | 1.2b |
Required VRAM | 4.2 GB |
Updated | 2025-02-14 |
Maintainer | dicta-il |
Model Type | mistral |
Instruction-Based | Yes |
Model Files | |
Supported Languages | en he |
AWQ Quantization | Yes |
Quantization Type | awq |
Model Architecture | MistralForCausalLM |
License | apache-2.0 |
Context Length | 32768 |
Model Max Length | 32768 |
Transformers Version | 4.38.2 |
Tokenizer Class | LlamaTokenizer |
Vocabulary Size | 33152 |
Torch Data Type | float16 |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
---|---|---|---|
Dictalm2.0 Instruct GPTQ | 32K / 4.2 GB | 192 | 0 |
๐ 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! ๐