RichardErkhov
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README.md
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Quantization made by Richard Erkhov.
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[Github](https://github.com/RichardErkhov)
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[Discord](https://discord.gg/pvy7H8DZMG)
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[Request more models](https://github.com/RichardErkhov/quant_request)
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Llama-3-8B-instruct - GGUF
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- Model creator: https://huggingface.co/AI-Sweden-Models/
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- Original model: https://huggingface.co/AI-Sweden-Models/Llama-3-8B-instruct/
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| Name | Quant method | Size |
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| ---- | ---- | ---- |
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| [Llama-3-8B-instruct.Q2_K.gguf](https://huggingface.co/RichardErkhov/AI-Sweden-Models_-_Llama-3-8B-instruct-gguf/blob/main/Llama-3-8B-instruct.Q2_K.gguf) | Q2_K | 2.96GB |
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| [Llama-3-8B-instruct.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/AI-Sweden-Models_-_Llama-3-8B-instruct-gguf/blob/main/Llama-3-8B-instruct.IQ3_XS.gguf) | IQ3_XS | 3.28GB |
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| [Llama-3-8B-instruct.IQ3_S.gguf](https://huggingface.co/RichardErkhov/AI-Sweden-Models_-_Llama-3-8B-instruct-gguf/blob/main/Llama-3-8B-instruct.IQ3_S.gguf) | IQ3_S | 3.43GB |
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| [Llama-3-8B-instruct.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/AI-Sweden-Models_-_Llama-3-8B-instruct-gguf/blob/main/Llama-3-8B-instruct.Q3_K_S.gguf) | Q3_K_S | 3.41GB |
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| [Llama-3-8B-instruct.IQ3_M.gguf](https://huggingface.co/RichardErkhov/AI-Sweden-Models_-_Llama-3-8B-instruct-gguf/blob/main/Llama-3-8B-instruct.IQ3_M.gguf) | IQ3_M | 3.52GB |
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| [Llama-3-8B-instruct.Q3_K.gguf](https://huggingface.co/RichardErkhov/AI-Sweden-Models_-_Llama-3-8B-instruct-gguf/blob/main/Llama-3-8B-instruct.Q3_K.gguf) | Q3_K | 3.74GB |
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| [Llama-3-8B-instruct.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/AI-Sweden-Models_-_Llama-3-8B-instruct-gguf/blob/main/Llama-3-8B-instruct.Q3_K_M.gguf) | Q3_K_M | 3.74GB |
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| [Llama-3-8B-instruct.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/AI-Sweden-Models_-_Llama-3-8B-instruct-gguf/blob/main/Llama-3-8B-instruct.Q3_K_L.gguf) | Q3_K_L | 4.03GB |
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| [Llama-3-8B-instruct.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/AI-Sweden-Models_-_Llama-3-8B-instruct-gguf/blob/main/Llama-3-8B-instruct.IQ4_XS.gguf) | IQ4_XS | 4.18GB |
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| [Llama-3-8B-instruct.Q4_0.gguf](https://huggingface.co/RichardErkhov/AI-Sweden-Models_-_Llama-3-8B-instruct-gguf/blob/main/Llama-3-8B-instruct.Q4_0.gguf) | Q4_0 | 4.34GB |
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| [Llama-3-8B-instruct.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/AI-Sweden-Models_-_Llama-3-8B-instruct-gguf/blob/main/Llama-3-8B-instruct.IQ4_NL.gguf) | IQ4_NL | 4.38GB |
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| [Llama-3-8B-instruct.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/AI-Sweden-Models_-_Llama-3-8B-instruct-gguf/blob/main/Llama-3-8B-instruct.Q4_K_S.gguf) | Q4_K_S | 4.37GB |
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| [Llama-3-8B-instruct.Q4_K.gguf](https://huggingface.co/RichardErkhov/AI-Sweden-Models_-_Llama-3-8B-instruct-gguf/blob/main/Llama-3-8B-instruct.Q4_K.gguf) | Q4_K | 4.58GB |
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| [Llama-3-8B-instruct.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/AI-Sweden-Models_-_Llama-3-8B-instruct-gguf/blob/main/Llama-3-8B-instruct.Q4_K_M.gguf) | Q4_K_M | 4.58GB |
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| [Llama-3-8B-instruct.Q4_1.gguf](https://huggingface.co/RichardErkhov/AI-Sweden-Models_-_Llama-3-8B-instruct-gguf/blob/main/Llama-3-8B-instruct.Q4_1.gguf) | Q4_1 | 4.78GB |
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| [Llama-3-8B-instruct.Q5_0.gguf](https://huggingface.co/RichardErkhov/AI-Sweden-Models_-_Llama-3-8B-instruct-gguf/blob/main/Llama-3-8B-instruct.Q5_0.gguf) | Q5_0 | 5.21GB |
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| [Llama-3-8B-instruct.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/AI-Sweden-Models_-_Llama-3-8B-instruct-gguf/blob/main/Llama-3-8B-instruct.Q5_K_S.gguf) | Q5_K_S | 5.21GB |
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| [Llama-3-8B-instruct.Q5_K.gguf](https://huggingface.co/RichardErkhov/AI-Sweden-Models_-_Llama-3-8B-instruct-gguf/blob/main/Llama-3-8B-instruct.Q5_K.gguf) | Q5_K | 5.34GB |
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| [Llama-3-8B-instruct.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/AI-Sweden-Models_-_Llama-3-8B-instruct-gguf/blob/main/Llama-3-8B-instruct.Q5_K_M.gguf) | Q5_K_M | 5.34GB |
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| [Llama-3-8B-instruct.Q5_1.gguf](https://huggingface.co/RichardErkhov/AI-Sweden-Models_-_Llama-3-8B-instruct-gguf/blob/main/Llama-3-8B-instruct.Q5_1.gguf) | Q5_1 | 5.65GB |
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| [Llama-3-8B-instruct.Q6_K.gguf](https://huggingface.co/RichardErkhov/AI-Sweden-Models_-_Llama-3-8B-instruct-gguf/blob/main/Llama-3-8B-instruct.Q6_K.gguf) | Q6_K | 6.14GB |
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| [Llama-3-8B-instruct.Q8_0.gguf](https://huggingface.co/RichardErkhov/AI-Sweden-Models_-_Llama-3-8B-instruct-gguf/blob/main/Llama-3-8B-instruct.Q8_0.gguf) | Q8_0 | 7.95GB |
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Original model description:
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---
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language:
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- sv
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- da
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- 'no'
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license: llama3
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base_model: AI-Sweden-Models/Llama-3-8B
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---
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# Checkpoint 1
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## Training setup
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The training was perfomed on the [LUMI supercomputer](https://lumi-supercomputer.eu/) within the [DeployAI EU project](https://www.ai.se/en/project/deployai).
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Based of the base model [AI-Sweden-Models/Llama-3-8B](https://huggingface.co/AI-Sweden-Models/Llama-3-8B).
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## Dataset
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A data recipe by: [42 Labs](https://huggingface.co/four-two-labs)
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![](https://huggingface.co/AI-Sweden-Models/Llama-3-8B-instruct/resolve/main/42logo.png?download=true)
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## How to use
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```python
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import transformers
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import torch
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model_id = "AI-Sweden-Models/Llama-3-8B-instruct"
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pipeline = transformers.pipeline(
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"text-generation",
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model=model_id,
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model_kwargs={"torch_dtype": torch.bfloat16},
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device_map="auto",
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)
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messages = [
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{"role": "system", "content": "Du är en hjälpsam assistant som svarar klokt och vänligt."},
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{"role": "user", "content": "Hur gör man pannkakor? Och vad behöver man handla? Undrar också vad 5+6 är.."},
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]
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terminators = [
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pipeline.tokenizer.eos_token_id,
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pipeline.tokenizer.convert_tokens_to_ids("<|eot_id|>")
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]
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outputs = pipeline(
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messages,
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max_new_tokens=256,
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eos_token_id=terminators,
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do_sample=True,
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temperature=0.6,
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top_p=0.9,
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)
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print(outputs[0]["generated_text"][-1])
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```
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```python
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>>> "För att göra pannkakor behöver du följande ingredienser:
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- 1 kopp vetemjöl
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- 1 tesked bakpulver
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- 1/4 tesked salt
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- 1 kopp mjölk
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- 1 stort ägg
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- 2 matskedar smält smör eller olja
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För att börja, blanda vetemjölet, bakpulvret och saltet i en bunke. I en annan skål, vispa ihop mjölken, ägget och smöret eller oljan.
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Tillsätt de våta ingredienserna till de torra ingredienserna och blanda tills det är väl blandat.
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Låt smeten vila i cirka 10 minuter.
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För att göra pannkakorna, värm en non-stick-panna eller stekpanna över medelvärme.
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När den är varm, häll smeten på pannan och grädda tills kanterna börjar torka ut och toppen är fast.
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Vänd pannkakan med en stekspade och grädda den andra sidan tills den är gyllenbrun.
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Upprepa med resten av smeten.
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När det gäller 5+6 är svaret 11."
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```
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