Arxiv:1910.09700 Autotrain compatible Conversational Endpoints compatible Llama Pytorch Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/hghghgkskdmskdms/xddd
Xddd 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)
Xddd Parameters and Internals
| LLM Name | Xddd |
| Repository 🤗 | https://huggingface.co/hghghgkskdmskdms/xddd |
| Model Size | 3.2b |
| Required VRAM | 6.5 GB |
| Updated | 2025-04-19 |
| Maintainer | hghghgkskdmskdms |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.48.3 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|finetune_right_pad_id|> |
| Vocabulary Size | 128256 |
| Torch Data Type | float16 |
Quantized Models of the Xddd
Model |
Likes |
Downloads |
VRAM |
|---|---|---|---|
| Xddd Mlx 2Bit | 0 | 12 | 1 GB |
Best Alternatives to Xddd
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| BG58 | 128K / 6.5 GB | 97 | 0 |
| ColdBrew Oracle | 128K / 6.5 GB | 6 | 0 |
| ISLEXITAS WEL SHREE 02 12 24 | 128K / 6.5 GB | 15 | 0 |
| Testing V01 | 128K / 6.5 GB | 20 | 0 |
| ...uvery Train 0.0.2 Merged 16bit | 128K / 6.5 GB | 5 | 0 |
| TaraV2 M16B | 128K / 6.5 GB | 6 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than hghghgkskdmskdms/xddd .
Rank the Xddd Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227