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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)
+
+
+Giraffe-v2-70b-32k - GGUF
+- Model creator: https://huggingface.co/abacusai/
+- Original model: https://huggingface.co/abacusai/Giraffe-v2-70b-32k/
+
+
+| Name | Quant method | Size |
+| ---- | ---- | ---- |
+| [Giraffe-v2-70b-32k.Q2_K.gguf](https://huggingface.co/RichardErkhov/abacusai_-_Giraffe-v2-70b-32k-gguf/blob/main/Giraffe-v2-70b-32k.Q2_K.gguf) | Q2_K | 23.71GB |
+| [Giraffe-v2-70b-32k.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/abacusai_-_Giraffe-v2-70b-32k-gguf/blob/main/Giraffe-v2-70b-32k.IQ3_XS.gguf) | IQ3_XS | 26.37GB |
+| [Giraffe-v2-70b-32k.IQ3_S.gguf](https://huggingface.co/RichardErkhov/abacusai_-_Giraffe-v2-70b-32k-gguf/blob/main/Giraffe-v2-70b-32k.IQ3_S.gguf) | IQ3_S | 27.86GB |
+| [Giraffe-v2-70b-32k.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/abacusai_-_Giraffe-v2-70b-32k-gguf/blob/main/Giraffe-v2-70b-32k.Q3_K_S.gguf) | Q3_K_S | 27.86GB |
+| [Giraffe-v2-70b-32k.IQ3_M.gguf](https://huggingface.co/RichardErkhov/abacusai_-_Giraffe-v2-70b-32k-gguf/blob/main/Giraffe-v2-70b-32k.IQ3_M.gguf) | IQ3_M | 28.82GB |
+| [Giraffe-v2-70b-32k.Q3_K.gguf](https://huggingface.co/RichardErkhov/abacusai_-_Giraffe-v2-70b-32k-gguf/blob/main/Giraffe-v2-70b-32k.Q3_K.gguf) | Q3_K | 30.99GB |
+| [Giraffe-v2-70b-32k.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/abacusai_-_Giraffe-v2-70b-32k-gguf/blob/main/Giraffe-v2-70b-32k.Q3_K_M.gguf) | Q3_K_M | 30.99GB |
+| [Giraffe-v2-70b-32k.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/abacusai_-_Giraffe-v2-70b-32k-gguf/blob/main/Giraffe-v2-70b-32k.Q3_K_L.gguf) | Q3_K_L | 33.67GB |
+| [Giraffe-v2-70b-32k.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/abacusai_-_Giraffe-v2-70b-32k-gguf/blob/main/Giraffe-v2-70b-32k.IQ4_XS.gguf) | IQ4_XS | 34.64GB |
+| [Giraffe-v2-70b-32k.Q4_0.gguf](https://huggingface.co/RichardErkhov/abacusai_-_Giraffe-v2-70b-32k-gguf/blob/main/Giraffe-v2-70b-32k.Q4_0.gguf) | Q4_0 | 36.2GB |
+| [Giraffe-v2-70b-32k.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/abacusai_-_Giraffe-v2-70b-32k-gguf/blob/main/Giraffe-v2-70b-32k.IQ4_NL.gguf) | IQ4_NL | 36.55GB |
+| [Giraffe-v2-70b-32k.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/abacusai_-_Giraffe-v2-70b-32k-gguf/blob/main/Giraffe-v2-70b-32k.Q4_K_S.gguf) | Q4_K_S | 36.55GB |
+| [Giraffe-v2-70b-32k.Q4_K.gguf](https://huggingface.co/RichardErkhov/abacusai_-_Giraffe-v2-70b-32k-gguf/tree/main/) | Q4_K | 38.58GB |
+| [Giraffe-v2-70b-32k.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/abacusai_-_Giraffe-v2-70b-32k-gguf/tree/main/) | Q4_K_M | 38.58GB |
+| [Giraffe-v2-70b-32k.Q4_1.gguf](https://huggingface.co/RichardErkhov/abacusai_-_Giraffe-v2-70b-32k-gguf/tree/main/) | Q4_1 | 40.2GB |
+| [Giraffe-v2-70b-32k.Q5_0.gguf](https://huggingface.co/RichardErkhov/abacusai_-_Giraffe-v2-70b-32k-gguf/tree/main/) | Q5_0 | 44.2GB |
+| [Giraffe-v2-70b-32k.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/abacusai_-_Giraffe-v2-70b-32k-gguf/tree/main/) | Q5_K_S | 44.2GB |
+| [Giraffe-v2-70b-32k.Q5_K.gguf](https://huggingface.co/RichardErkhov/abacusai_-_Giraffe-v2-70b-32k-gguf/tree/main/) | Q5_K | 45.41GB |
+| [Giraffe-v2-70b-32k.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/abacusai_-_Giraffe-v2-70b-32k-gguf/tree/main/) | Q5_K_M | 45.41GB |
+| [Giraffe-v2-70b-32k.Q5_1.gguf](https://huggingface.co/RichardErkhov/abacusai_-_Giraffe-v2-70b-32k-gguf/tree/main/) | Q5_1 | 48.2GB |
+| [Giraffe-v2-70b-32k.Q6_K.gguf](https://huggingface.co/RichardErkhov/abacusai_-_Giraffe-v2-70b-32k-gguf/tree/main/) | Q6_K | 52.7GB |
+| [Giraffe-v2-70b-32k.Q8_0.gguf](https://huggingface.co/RichardErkhov/abacusai_-_Giraffe-v2-70b-32k-gguf/tree/main/) | Q8_0 | 68.26GB |
+
+
+
+
+Original model description:
+---
+tags:
+- llama2
+---
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/64c14f6b02e1f8f67c73bd05/DJHrZmfoy-0TzNChTrtxP.png)
+
+## Model Details
+
+### Model Description
+
+
+We have followed up on our previous training runs related to extending the context length
+of Llama models. The associated github repository 
+
+https://github.com/abacusai/long-context
+
+has some basic details on our approach and metrics. We have also published a paper on arXiv
+that covers our experiments and analysis a lot more comprehensively.
+
+http://arxiv.org/abs/2308.10882
+
+- **Developed by:** [Abacus.AI](https://abacus.ai)
+- **Model type:** Transformer based autoregressive causal language model
+- **License:** Llama 2 Community License: https://github.com/facebookresearch/llama/blob/main/LICENSE
+- **Finetuned from model:** Llama V2 70B
+
+### Usage
+
+To use this model at longer lengths the model needs to be patched to interpolate the longer context
+lengths. It will not work if it is simply loaded with the `AutoModel` framework of `transformers`.
+For full details and usage see:
+
+https://github.com/abacusai/Long-Context
+
+The evaluation section has detailed code for how to load and patch the model for inference (or further fine-tuning).
+Note in particular the `max_position_embeddings` is not relevant since the patched module dynamically reallocates
+the position buffers as required.
+
+The tokenizer corresponding to this model is https://huggingface.co/abacusai/Giraffe-v1-Tokenizer.
+
+Using the code in the repository you can load this model with the following code:
+```python
+from models import load_model, load_tokenizer
+tokenizer = load_tokenizer()
+model = load_model('abacusai/Giraffe-v2-70b-32k', scale=8)
+```
+
+