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RichardErkhov/raincandy-u_-_phillama-3.8b-v0.1-gguf
raincandy-u_-_phillama-3.8b-v0.1-gguf is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Downloads · 30 days
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.gguf50.4 GB · 100%
From the Hugging Face model README
Quantization made by Richard Erkhov.
phillama-3.8b-v0.1 - GGUF
| Name | Quant method | Size |
|---|---|---|
| phillama-3.8b-v0.1.Q2_K.gguf | Q2_K | 1.35GB |
| phillama-3.8b-v0.1.IQ3_XS.gguf | IQ3_XS | 1.49GB |
| phillama-3.8b-v0.1.IQ3_S.gguf | IQ3_S | 1.57GB |
| phillama-3.8b-v0.1.Q3_K_S.gguf | Q3_K_S | 1.57GB |
| phillama-3.8b-v0.1.IQ3_M.gguf | IQ3_M | 1.65GB |
| phillama-3.8b-v0.1.Q3_K.gguf | Q3_K | 1.75GB |
| phillama-3.8b-v0.1.Q3_K_M.gguf | Q3_K_M | 1.75GB |
| phillama-3.8b-v0.1.Q3_K_L.gguf | Q3_K_L | 1.9GB |
| phillama-3.8b-v0.1.IQ4_XS.gguf | IQ4_XS | 1.93GB |
| phillama-3.8b-v0.1.Q4_0.gguf | Q4_0 | 2.03GB |
| phillama-3.8b-v0.1.IQ4_NL.gguf | IQ4_NL | 2.04GB |
| phillama-3.8b-v0.1.Q4_K_S.gguf | Q4_K_S | 2.04GB |
| phillama-3.8b-v0.1.Q4_K.gguf | Q4_K | 2.16GB |
| phillama-3.8b-v0.1.Q4_K_M.gguf | Q4_K_M | 2.16GB |
| phillama-3.8b-v0.1.Q4_1.gguf | Q4_1 | 2.24GB |
| phillama-3.8b-v0.1.Q5_0.gguf | Q5_0 | 2.46GB |
| phillama-3.8b-v0.1.Q5_K_S.gguf | Q5_K_S | 2.46GB |
| phillama-3.8b-v0.1.Q5_K.gguf | Q5_K | 2.53GB |
| phillama-3.8b-v0.1.Q5_K_M.gguf | Q5_K_M | 2.53GB |
| phillama-3.8b-v0.1.Q5_1.gguf | Q5_1 | 2.68GB |
| phillama-3.8b-v0.1.Q6_K.gguf | Q6_K | 2.92GB |
| phillama-3.8b-v0.1.Q8_0.gguf | Q8_0 | 3.78GB |
datasets:

Phillama is a model based on Phi-3-mini and trained on Llama-generated dataset raincandy-u/Dextromethorphan-10k to make it more "llama-like".
Also, this model is converted into Llama format, so it will work with any Llama-2/3 workflow.
You are a humanoid AI assistant. You think step by step and give detailed long response.
<|system|>
You are a humanoid AI assistant. You think step by step and give detailed long response.<|end|>
<|user|>
Why people like llama?<|end|>
<|assistant|>