README.md

---
license: apache-2.0
datasets:
- berkeley-nest/Nectar
language:
- en
library_name: transformers
tags:
- reward model
- RLHF
- RLAIF
quantized_by: bartowski
pipeline_tag: text-generation
---

## Llamacpp Quantizations of Starling-LM-7B-beta

Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2440">b2440</a> for quantization.

Original model: https://huggingface.co/Nexusflow/Starling-LM-7B-beta

Download a file (not the whole branch) from below:

| Filename | Quant type | File Size | Description |
| -------- | ---------- | --------- | ----------- |
| [Starling-LM-7B-beta-Q8_0.gguf](https://huggingface.co/bartowski/Starling-LM-7B-beta-GGUF/blob/main/Starling-LM-7B-beta-Q8_0.gguf) | Q8_0 | 7.69GB | Extremely high quality, generally unneeded but max available quant. |
| [Starling-LM-7B-beta-Q6_K.gguf](https://huggingface.co/bartowski/Starling-LM-7B-beta-GGUF/blob/main/Starling-LM-7B-beta-Q6_K.gguf) | Q6_K | 5.94GB | Very high quality, near perfect, *recommended*. |
| [Starling-LM-7B-beta-Q5_K_M.gguf](https://huggingface.co/bartowski/Starling-LM-7B-beta-GGUF/blob/main/Starling-LM-7B-beta-Q5_K_M.gguf) | Q5_K_M | 5.13GB | High quality, very usable. |
| [Starling-LM-7B-beta-Q5_K_S.gguf](https://huggingface.co/bartowski/Starling-LM-7B-beta-GGUF/blob/main/Starling-LM-7B-beta-Q5_K_S.gguf) | Q5_K_S | 4.99GB | High quality, very usable. |
| [Starling-LM-7B-beta-Q5_0.gguf](https://huggingface.co/bartowski/Starling-LM-7B-beta-GGUF/blob/main/Starling-LM-7B-beta-Q5_0.gguf) | Q5_0 | 4.99GB | High quality, older format, generally not recommended. |
| [Starling-LM-7B-beta-Q4_K_M.gguf](https://huggingface.co/bartowski/Starling-LM-7B-beta-GGUF/blob/main/Starling-LM-7B-beta-Q4_K_M.gguf) | Q4_K_M | 4.36GB | Good quality, similar to 4.25 bpw. |
| [Starling-LM-7B-beta-Q4_K_S.gguf](https://huggingface.co/bartowski/Starling-LM-7B-beta-GGUF/blob/main/Starling-LM-7B-beta-Q4_K_S.gguf) | Q4_K_S | 4.14GB | Slightly lower quality with small space savings. |
| [Starling-LM-7B-beta-IQ4_NL.gguf](https://huggingface.co/bartowski/Starling-LM-7B-beta-GGUF/blob/main/Starling-LM-7B-beta-IQ4_NL.gguf) | IQ4_NL | 4.15GB | Good quality, similar to Q4_K_S, new method of quanting, |
| [Starling-LM-7B-beta-IQ4_XS.gguf](https://huggingface.co/bartowski/Starling-LM-7B-beta-GGUF/blob/main/Starling-LM-7B-beta-IQ4_XS.gguf) | IQ4_XS | 3.94GB | Decent quality, new method with similar performance to Q4. |
| [Starling-LM-7B-beta-Q4_0.gguf](https://huggingface.co/bartowski/Starling-LM-7B-beta-GGUF/blob/main/Starling-LM-7B-beta-Q4_0.gguf) | Q4_0 | 4.10GB | Decent quality, older format, generally not recommended. |
| [Starling-LM-7B-beta-IQ3_M.gguf](https://huggingface.co/bartowski/Starling-LM-7B-beta-GGUF/blob/main/Starling-LM-7B-beta-IQ3_M.gguf) | IQ3_M | 3.28GB | Medium-low quality, new method with decent performance. |
| [Starling-LM-7B-beta-IQ3_S.gguf](https://huggingface.co/bartowski/Starling-LM-7B-beta-GGUF/blob/main/Starling-LM-7B-beta-IQ3_S.gguf) | IQ3_S | 3.18GB | Lower quality, new method with decent performance, recommended over Q3 quants. |
| [Starling-LM-7B-beta-Q3_K_L.gguf](https://huggingface.co/bartowski/Starling-LM-7B-beta-GGUF/blob/main/Starling-LM-7B-beta-Q3_K_L.gguf) | Q3_K_L | 3.82GB | Lower quality but usable, good for low RAM availability. |
| [Starling-LM-7B-beta-Q3_K_M.gguf](https://huggingface.co/bartowski/Starling-LM-7B-beta-GGUF/blob/main/Starling-LM-7B-beta-Q3_K_M.gguf) | Q3_K_M | 3.51GB | Even lower quality. |
| [Starling-LM-7B-beta-Q3_K_S.gguf](https://huggingface.co/bartowski/Starling-LM-7B-beta-GGUF/blob/main/Starling-LM-7B-beta-Q3_K_S.gguf) | Q3_K_S | 3.16GB | Low quality, not recommended. |
| [Starling-LM-7B-beta-Q2_K.gguf](https://huggingface.co/bartowski/Starling-LM-7B-beta-GGUF/blob/main/Starling-LM-7B-beta-Q2_K.gguf) | Q2_K | 2.71GB | Extremely low quality, *not* recommended.

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