8-bit Autotrain compatible Conversational Endpoints compatible Gptq Llama Quantized Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/CNBOOMBOOM/quant-gptq-hivetalk-8bits-10k-v4
Quant Gptq Hivetalk 8bits 10K V4 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)
Quant Gptq Hivetalk 8bits 10K V4 Parameters and Internals
| LLM Name | Quant Gptq Hivetalk 8bits 10K V4 |
| Repository 🤗 | https://huggingface.co/CNBOOMBOOM/quant-gptq-hivetalk-8bits-10k-v4 |
| Model Size | 1.9b |
| Required VRAM | 7.2 GB |
| Updated | 2025-02-18 |
| Maintainer | CNBOOMBOOM |
| Model Type | llama |
| Model Files | |
| GPTQ Quantization | Yes |
| Quantization Type | gptq |
| Model Architecture | LlamaForCausalLM |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.35.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Rank the Quant Gptq Hivetalk 8bits 10K V4 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227