8bit Autotrain compatible Conversational En Endpoints compatible Instruct Llama Mlx Quantized Region:us Safetensors
SmolLM 360M Instruct 8bit Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
SmolLM 360M Instruct 8bit Parameters and Internals
| LLM Name | SmolLM 360M Instruct 8bit |
| Repository 🤗 | https://huggingface.co/mlx-community/SmolLM-360M-Instruct-8bit |
| Model Size | 360m |
| Required VRAM | 0.4 GB |
| Updated | 2024-11-07 |
| Maintainer | mlx-community |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Quantization Type | 8bit |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.42.3 |
| Tokenizer Class | GPT2Tokenizer |
| Padding Token | <|im_end|> |
| Vocabulary Size | 49152 |
| Torch Data Type | bfloat16 |
Best Alternatives to SmolLM 360M Instruct 8bit
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| SmolLM2 360M Instruct Bnb 4bit | 8K / 0.3 GB | 142 | 0 |
| SmolLM2 360M Instruct | 8K / 0.7 GB | 5964 | 39 |
| SmolLM 360M Instruct | 2K / 0.7 GB | 21759 | 75 |
| SmolLM 360M Instruct | 2K / 0.7 GB | 730 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/SmolLM-360M-Instruct-8bit .
Rank the SmolLM 360M Instruct 8bit Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803