8-bit 8bit Autotrain compatible Conversational Endpoints compatible Gptq Llama Quantized Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/alexm-nm/tinyllama-24-marlin24-8bit-channelwise
Tinyllama 24 Marlin24 8bit Channelwise 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 24 Marlin24 8bit Channelwise Parameters and Internals
| LLM Name | Tinyllama 24 Marlin24 8bit Channelwise |
| Repository 🤗 | https://huggingface.co/alexm-nm/tinyllama-24-marlin24-8bit-channelwise |
| Model Size | 313.2m |
| Required VRAM | 0.9 GB |
| Updated | 2025-02-22 |
| Maintainer | alexm-nm |
| Model Type | llama |
| Model Files | |
| GPTQ Quantization | Yes |
| Quantization Type | gptq|8bit |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.40.1 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Rank the Tinyllama 24 Marlin24 8bit Channelwise Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227