4-bit 4bit Autotrain compatible Base model:keeeeenw/microllama Base model:quantized:keeeeenw/... Bitsandbytes En Endpoints compatible Instruct Llama Quantized Region:us Safetensors Sft Trl Unsloth
Microllama Python Instruct 0.3 4bit 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)
Microllama Python Instruct 0.3 4bit Parameters and Internals
| LLM Name | Microllama Python Instruct 0.3 4bit |
| Repository 🤗 | https://huggingface.co/balrogbob/microllama-python-instruct-0.3_4bit |
| Base Model(s) | |
| Model Size | 188.9m |
| Required VRAM | 0.4 GB |
| Updated | 2024-09-16 |
| Maintainer | balrogbob |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Quantization Type | 4bit |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.42.4 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 32000 |
| Torch Data Type | float32 |
Rank the Microllama Python Instruct 0.3 4bit Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803