Autotrain compatible Base model:leroydyer/ spydaz w... Base model:quantized:leroydyer... Conversational En Endpoints compatible Gguf Mistral Quantized Region:us Safetensors Sft Sharded Tensorflow Trl Unsloth
Model Card on HF 🤗: https://huggingface.co/LeroyDyer/_Spydaz_Web_AI_Pre_train_align_004
Spydaz Web AI Pre Train Align 004 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)
Spydaz Web AI Pre Train Align 004 Parameters and Internals
| LLM Name | Spydaz Web AI Pre Train Align 004 |
| Repository 🤗 | https://huggingface.co/LeroyDyer/_Spydaz_Web_AI_Pre_train_align_004 |
| Base Model(s) | |
| Model Size | 7.2b |
| Required VRAM | 14.4 GB |
| Updated | 2025-03-20 |
| Maintainer | LeroyDyer |
| Model Type | mistral |
| Model Files | |
| Supported Languages | en |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.48.3 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Spydaz Web AI Pre Train Align 004
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Spydaz Web AGI DeepThink | 128K / 14.4 GB | 17 | 1 |
| Zion Alpha | 32K / 14.4 GB | 1338 | 4 |
| LCARS AI 001 | 32K / 14.4 GB | 14 | 4 |
| Mixtral Quantized | 32K / 14.4 GB | 27 | 0 |
| Mayonnaise 4in1 02 | 32K / 14.4 GB | 35 | 0 |
| Zsql En Postgres | 32K / 14.4 GB | 64 | 5 |
| MHENNlitv3 | 32K / 28.9 GB | 6 | 0 |
| MHENNlitv2 | 32K / 28.9 GB | 6 | 0 |
| MHENNcodemathv2 | 32K / 28.9 GB | 8 | 0 |
| MHENNcodemath | 32K / 28.9 GB | 6 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than LeroyDyer/_Spydaz_Web_AI_Pre_train_align_004 .
Rank the Spydaz Web AI Pre Train Align 004 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124