metadata
language:
- en
license: other
license_name: llama3
model_name: Llama3 8B
arxiv: 2307.09288
base_model: meta-llama/Meta-Llama-3-8B
inference: false
model_creator: Meta Llama3
model_type: llama
pipeline_tag: text-generation
quantized_by: Second State Inc.
FinGPT-MT-Llama-3-8B-LoRA-GGUF
Original Model
LoRA Adapter
FinGPT/fingpt-mt_llama3-8b_lora
Run with LlamaEdge
- LlamaEdge version: coming soon
- Context size:
8192
Quantized GGUF Models
| Name | Quant method | Bits | Size | Use case |
|---|---|---|---|---|
| FinGPT-MT-Llama-3-8B-LoRA-Q2_K.gguf | Q2_K | 2 | 3.18 GB | smallest, significant quality loss - not recommended for most purposes |
| FinGPT-MT-Llama-3-8B-LoRA-Q3_K_L.gguf | Q3_K_L | 3 | 4.32 GB | small, substantial quality loss |
| FinGPT-MT-Llama-3-8B-LoRA-Q3_K_M.gguf | Q3_K_M | 3 | 4.02 GB | very small, high quality loss |
| FinGPT-MT-Llama-3-8B-LoRA-Q3_K_S.gguf | Q3_K_S | 3 | 3.66 GB | very small, high quality loss |
| FinGPT-MT-Llama-3-8B-LoRA-Q4_0.gguf | Q4_0 | 4 | 4.66 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| FinGPT-MT-Llama-3-8B-LoRA-Q4_K_M.gguf | Q4_K_M | 4 | 4.92 GB | medium, balanced quality - recommended |
| FinGPT-MT-Llama-3-8B-LoRA-Q4_K_S.gguf | Q4_K_S | 4 | 4.69 GB | small, greater quality loss |
| FinGPT-MT-Llama-3-8B-LoRA-Q5_0.gguf | Q5_0 | 5 | 5.6 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| FinGPT-MT-Llama-3-8B-LoRA-Q5_K_M.gguf | Q5_K_M | 5 | 5.73 GB | large, very low quality loss - recommended |
| FinGPT-MT-Llama-3-8B-LoRA-Q5_K_S.gguf | Q5_K_S | 5 | 5.6 GB | large, low quality loss - recommended |
| FinGPT-MT-Llama-3-8B-LoRA-Q6_K.gguf | Q6_K | 6 | 6.6 GB | very large, extremely low quality loss |
| FinGPT-MT-Llama-3-8B-LoRA-Q8_0.gguf | Q8_0 | 8 | 8.54 GB | very large, extremely low quality loss - not recommended |
| FinGPT-MT-Llama-3-8B-LoRA-f16.gguf | f16 | 16 | 16.1 GB |
Quantized with llama.cpp b3807.