Model Type |
| |||||||||||||||
Use Cases |
| |||||||||||||||
Additional Notes |
| |||||||||||||||
Supported Languages |
| |||||||||||||||
Training Details |
| |||||||||||||||
Input Output |
|
LLM Name | SmolLM2 1.7B |
Repository ๐ค | https://huggingface.co/HuggingFaceTB/SmolLM2-1.7B |
Model Size | 1.7b |
Required VRAM | 3.4 GB |
Updated | 2025-02-22 |
Maintainer | HuggingFaceTB |
Model Type | llama |
Model Files | |
Supported Languages | en |
Context Length | 8k |
Model Architecture | LlamaForCausalLM |
License | apache-2.0 |
Context Length | 8192 |
Model Max Length | 8192 |
Transformers Version | 4.40.1 |
Tokenizer Class | GPT2Tokenizer |
Vocabulary Size | 49152 |
Torch Data Type | bfloat16 |
Model |
Likes |
Downloads |
VRAM |
---|---|---|---|
SmolTulu 1.7B Instruct | 13 | 194 | 3 GB |
SmolLM2 1.7B Bnb 4bit | 3 | 296 | 1 GB |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
---|---|---|---|
SmolLM2 1.7B Instruct | 8K / 3.4 GB | 380890 | 549 |
Superthoughts Lite V1 | 8K / 3.4 GB | 1065 | 2 |
SmolTulu 1.7B Reinforced | 8K / 3.4 GB | 242 | 5 |
...ghts Lite 1.8B Experimental O1 | 8K / 3.6 GB | 240 | 1 |
SmolLM2 1.7B Instruct | 8K / 3.4 GB | 8549 | 4 |
SmolLM2 1.7B | 8K / 3.4 GB | 7185 | 4 |
SmolLM2 1.7 Persona | 8K / 3.5 GB | 8 | 0 |
NuExtract 1.5 Smol | 8K / 3.4 GB | 237 | 54 |
...RM 1 Smollm2 1.7B Lcot PyTorch | 8K / 3.4 GB | 75 | 0 |
SmolLM2 Math IIO 1.7B Instruct | 8K / 3.4 GB | 107 | 8 |
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