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README.md

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+Quantization made by Richard Erkhov.
+
+[Github](https://github.com/RichardErkhov)
+
+[Discord](https://discord.gg/pvy7H8DZMG)
+
+[Request more models](https://github.com/RichardErkhov/quant_request)
+
+
+astrollama - GGUF
+- Model creator: https://huggingface.co/universeTBD/
+- Original model: https://huggingface.co/universeTBD/astrollama/
+
+
+| Name | Quant method | Size |
+| ---- | ---- | ---- |
+| [astrollama.Q2_K.gguf](https://huggingface.co/RichardErkhov/universeTBD_-_astrollama-gguf/blob/main/astrollama.Q2_K.gguf) | Q2_K | 2.36GB |
+| [astrollama.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/universeTBD_-_astrollama-gguf/blob/main/astrollama.IQ3_XS.gguf) | IQ3_XS | 2.6GB |
+| [astrollama.IQ3_S.gguf](https://huggingface.co/RichardErkhov/universeTBD_-_astrollama-gguf/blob/main/astrollama.IQ3_S.gguf) | IQ3_S | 2.75GB |
+| [astrollama.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/universeTBD_-_astrollama-gguf/blob/main/astrollama.Q3_K_S.gguf) | Q3_K_S | 2.75GB |
+| [astrollama.IQ3_M.gguf](https://huggingface.co/RichardErkhov/universeTBD_-_astrollama-gguf/blob/main/astrollama.IQ3_M.gguf) | IQ3_M | 2.9GB |
+| [astrollama.Q3_K.gguf](https://huggingface.co/RichardErkhov/universeTBD_-_astrollama-gguf/blob/main/astrollama.Q3_K.gguf) | Q3_K | 3.07GB |
+| [astrollama.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/universeTBD_-_astrollama-gguf/blob/main/astrollama.Q3_K_M.gguf) | Q3_K_M | 3.07GB |
+| [astrollama.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/universeTBD_-_astrollama-gguf/blob/main/astrollama.Q3_K_L.gguf) | Q3_K_L | 3.35GB |
+| [astrollama.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/universeTBD_-_astrollama-gguf/blob/main/astrollama.IQ4_XS.gguf) | IQ4_XS | 3.4GB |
+| [astrollama.Q4_0.gguf](https://huggingface.co/RichardErkhov/universeTBD_-_astrollama-gguf/blob/main/astrollama.Q4_0.gguf) | Q4_0 | 3.56GB |
+| [astrollama.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/universeTBD_-_astrollama-gguf/blob/main/astrollama.IQ4_NL.gguf) | IQ4_NL | 3.58GB |
+| [astrollama.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/universeTBD_-_astrollama-gguf/blob/main/astrollama.Q4_K_S.gguf) | Q4_K_S | 3.59GB |
+| [astrollama.Q4_K.gguf](https://huggingface.co/RichardErkhov/universeTBD_-_astrollama-gguf/blob/main/astrollama.Q4_K.gguf) | Q4_K | 3.8GB |
+| [astrollama.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/universeTBD_-_astrollama-gguf/blob/main/astrollama.Q4_K_M.gguf) | Q4_K_M | 3.8GB |
+| [astrollama.Q4_1.gguf](https://huggingface.co/RichardErkhov/universeTBD_-_astrollama-gguf/blob/main/astrollama.Q4_1.gguf) | Q4_1 | 3.95GB |
+| [astrollama.Q5_0.gguf](https://huggingface.co/RichardErkhov/universeTBD_-_astrollama-gguf/blob/main/astrollama.Q5_0.gguf) | Q5_0 | 4.33GB |
+| [astrollama.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/universeTBD_-_astrollama-gguf/blob/main/astrollama.Q5_K_S.gguf) | Q5_K_S | 4.33GB |
+| [astrollama.Q5_K.gguf](https://huggingface.co/RichardErkhov/universeTBD_-_astrollama-gguf/blob/main/astrollama.Q5_K.gguf) | Q5_K | 4.45GB |
+| [astrollama.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/universeTBD_-_astrollama-gguf/blob/main/astrollama.Q5_K_M.gguf) | Q5_K_M | 4.45GB |
+| [astrollama.Q5_1.gguf](https://huggingface.co/RichardErkhov/universeTBD_-_astrollama-gguf/blob/main/astrollama.Q5_1.gguf) | Q5_1 | 4.72GB |
+| [astrollama.Q6_K.gguf](https://huggingface.co/RichardErkhov/universeTBD_-_astrollama-gguf/blob/main/astrollama.Q6_K.gguf) | Q6_K | 5.15GB |
+| [astrollama.Q8_0.gguf](https://huggingface.co/RichardErkhov/universeTBD_-_astrollama-gguf/blob/main/astrollama.Q8_0.gguf) | Q8_0 | 6.67GB |
+
+
+
+
+Original model description:
+---
+license: mit
+datasets:
+- universeTBD/arxiv-astro-abstracts-all
+language:
+- en
+metrics:
+- perplexity
+pipeline_tag: text-generation
+tags:
+- llama-2
+- astronomy
+- astrophysics
+- arxiv
+inference: false
+---
+
+<p><h1>AstroLLaMA</h1></p>
+
+**Play with the model in our Hugging Face space!** https://huggingface.co/spaces/universeTBD/astrollama
+
+<p align="center">
+  <img src="https://huggingface.co/universeTBD/astrollama/resolve/main/images/astrollama-logo.png" alt="AstroLLaMA" width="500px"/>
+</p>
+
+## Loading the model
+
+```python
+from transformers import AutoModelForCausalLM
+from transformers import AutoTokenizer
+
+tokenizer = AutoTokenizer.from_pretrained(
+    pretrained_model_name_or_path="universeTBD/astrollama"
+)
+model = AutoModelForCausalLM.from_pretrained(
+    pretrained_model_name_or_path="universeTBD/astrollama",
+    device_map="auto",
+)
+```
+
+## Generating text from a prompt
+
+```python
+import torch
+from transformers import pipeline
+
+generator = pipeline(
+    task="text-generation",
+    model=model,
+    tokenizer=tokenizer,
+    device_map="auto"
+)
+
+# Taken from https://arxiv.org/abs/2308.12823
+prompt = "In this letter, we report the discovery of the highest redshift, " \
+    "heavily obscured, radio-loud QSO candidate selected using JWST NIRCam/MIRI, " \
+    "mid-IR, sub-mm, and radio imaging in the COSMOS-Web field. "
+
+# For reproducibility
+torch.manual_seed(42)
+
+generated_text = generator(
+    prompt,
+    do_sample=True,
+    max_length=512
+)
+```
+
+## Embedding text with AstroLLaMA
+
+```python
+texts = [
+    "Abstract 1",
+    "Abstract 2"
+]
+inputs = tokenizer(
+    texts,
+    return_tensors="pt",
+    return_token_type_ids=False,
+    padding=True,
+    truncation=True,
+    max_length=4096
+)
+inputs.to(model.device)
+outputs = model(**inputs, output_hidden_states=True)
+
+# Last layer of the hidden states. Get average embedding of all tokens
+embeddings = outputs["hidden_states"][-1][:, 1:, ...].mean(1).detach().cpu().numpy()
+```
+