Adapter-transformers Conversational Dataset:netcat420/mfann Endpoints compatible Gguf Llama Quantized Region:us
Model Card on HF 🤗: https://huggingface.co/netcat420/MFANNv0.6-GGUF
MFANNv0.6 GGUF 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)
MFANNv0.6 GGUF Parameters and Internals
| Model Type |
|
| LLM Name | MFANNv0.6 GGUF |
| Repository 🤗 | https://huggingface.co/netcat420/MFANNv0.6-GGUF |
| Required VRAM | 4.7 GB |
| Updated | 2025-02-22 |
| Maintainer | netcat420 |
| Model Type | llama |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.40.0.dev0 |
| Vocabulary Size | 128256 |
| Torch Data Type | bfloat16 |
Best Alternatives to MFANNv0.6 GGUF
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| LLAMA2 GOOD GGUF | 16K / 4.8 GB | 25 | 0 |
| Codellama Cairo Instruct GGUF | 16K / 4.1 GB | 14 | 1 |
| Aware Ai 1st | 8K / 16.1 GB | 167 | 0 |
| ...LaMA3 Iterative DPO Final GGUF | 8K / 16.1 GB | 25 | 1 |
| Tinyllama Coder Py V15 | 4K / 0.7 GB | 107 | 0 |
| Tinyllama Coder Py V16 | 4K / 0.7 GB | 74 | 0 |
| UlizaLlama Q4 K M Gguf | 4K / 4.2 GB | 10 | 0 |
| Cancer Llama.5 Llm | 4K / 4.1 GB | 8 | 0 |
| Airavata GGUF | 4K / 4.2 GB | 21 | 2 |
| BR Logical Llama 1.01 Gguf | 4K / 13.5 GB | 12 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than netcat420/MFANNv0.6-GGUF .
Rank the MFANNv0.6 GGUF Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227