4-bit Autotrain compatible Awq Base model:mlabonne/neuraldare... Base model:quantized:mlabonne/... Endpoints compatible Llama Quantized Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/solidrust/NeuralDaredevil-8B-abliterated-AWQ
NeuralDaredevil 8B Abliterated AWQ 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)
NeuralDaredevil 8B Abliterated AWQ Parameters and Internals
| LLM Name | NeuralDaredevil 8B Abliterated AWQ |
| Repository 🤗 | https://huggingface.co/solidrust/NeuralDaredevil-8B-abliterated-AWQ |
| Base Model(s) | |
| Model Size | 8b |
| Required VRAM | 5.8 GB |
| Updated | 2024-12-22 |
| Maintainer | solidrust |
| Model Type | llama |
| Model Files | |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | LlamaForCausalLM |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.41.1 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Vocabulary Size | 128256 |
| Torch Data Type | float16 |
Best Alternatives to NeuralDaredevil 8B Abliterated AWQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...8B Instruct Gradient 1048K AWQ | 1024K / 5.8 GB | 15 | 0 |
| ...radient 1048K AWQ 4bit Smashed | 1024K / 5.8 GB | 32 | 1 |
| ...Instruct 262K AWQ 4bit Smashed | 256K / 5.8 GB | 15 | 4 |
| ...ta Llama 3 8B Instruct 64K AWQ | 64K / 5.8 GB | 12 | 0 |
| ... Instruct 8B 32K V0.1 4bit AWQ | 64K / 5.8 GB | 15 | 0 |
| Llama 3 8B Instruct AWQ | 8K / 5.8 GB | 78227 | 20 |
| Llama 3 ELYZA JP 8B AWQ | 8K / 5.8 GB | 1989 | 3 |
| Meta Llama 3 8B Instruct AWQ | 8K / 5.8 GB | 1330 | 4 |
| Meta Llama 3 8B Instruct AWQ | 8K / 5.8 GB | 1271 | 0 |
| Meta Llama 3 8B AWQ | 8K / 5.8 GB | 2807 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than solidrust/NeuralDaredevil-8B-abliterated-AWQ .
Rank the NeuralDaredevil 8B Abliterated AWQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217