Model Card on HF 🤗: https://huggingface.co/TheBloke/L2-MythoMax22b-Instruct-Falseblock-GGML
L2 MythoMax22b Instruct Falseblock GGML 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)
L2 MythoMax22b Instruct Falseblock GGML Parameters and Internals
| Model Type |
|
| LLM Name | L2 MythoMax22b Instruct Falseblock GGML |
| Repository 🤗 | https://huggingface.co/TheBloke/L2-MythoMax22b-Instruct-Falseblock-GGML |
| Model Name | L2 MythoMax 22B Instruct Falseblock |
| Model Creator | grimpep |
| Base Model(s) | |
| Required VRAM | 9.2 GB |
| Updated | 2025-09-23 |
| Maintainer | TheBloke |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| GGML Quantization | Yes |
| Quantization Type | ggml |
| Model Architecture | AutoModel |
| License | llama2 |
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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/L2-MythoMax22b-Instruct-Falseblock-GGML .
Rank the L2 MythoMax22b Instruct Falseblock GGML Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124