8-bit Autotrain compatible Compressed-tensors Conversational Endpoints compatible Llama Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/nm-testing/tinyllama-oneshot-w8-channel-a8-tensor
Tinyllama Oneshot W8 Channel A8 Tensor 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)
Tinyllama Oneshot W8 Channel A8 Tensor Parameters and Internals
| LLM Name | Tinyllama Oneshot W8 Channel A8 Tensor |
| Repository 🤗 | https://huggingface.co/nm-testing/tinyllama-oneshot-w8-channel-a8-tensor |
| Model Size | 1.1b |
| Required VRAM | 1.2 GB |
| Updated | 2025-09-23 |
| Maintainer | nm-testing |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.40.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
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Note: green Score (e.g. "73.2") means that the model is better than nm-testing/tinyllama-oneshot-w8-channel-a8-tensor .
Rank the Tinyllama Oneshot W8 Channel A8 Tensor Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124