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distilabel-internal-testing_-_tiny-random-mistral-gguf
RichardErkhov/distilabel-internal-testing_-_tiny-random-mistral-gguf
distilabel-internal-testing_-_tiny-random-mistral-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.
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At a glance
- Access
- Public
- Created
- Oct 9, 2024
- Updated
- Oct 9, 2024
- SHA
- 171f0f66
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
tiny-random-mistral - GGUF
- Model creator: https://huggingface.co/distilabel-internal-testing/
- Original model: https://huggingface.co/distilabel-internal-testing/tiny-random-mistral/
| Name | Quant method | Size |
|---|---|---|
| tiny-random-mistral.Q2_K.gguf | Q2_K | 0.01GB |
| tiny-random-mistral.IQ3_XS.gguf | IQ3_XS | 0.01GB |
| tiny-random-mistral.IQ3_S.gguf | IQ3_S | 0.01GB |
| tiny-random-mistral.Q3_K_S.gguf | Q3_K_S | 0.01GB |
| tiny-random-mistral.IQ3_M.gguf | IQ3_M | 0.01GB |
| tiny-random-mistral.Q3_K.gguf | Q3_K | 0.01GB |
| tiny-random-mistral.Q3_K_M.gguf | Q3_K_M | 0.01GB |
| tiny-random-mistral.Q3_K_L.gguf | Q3_K_L | 0.01GB |
| tiny-random-mistral.IQ4_XS.gguf | IQ4_XS | 0.01GB |
| tiny-random-mistral.Q4_0.gguf | Q4_0 | 0.01GB |
| tiny-random-mistral.IQ4_NL.gguf | IQ4_NL | 0.01GB |
| tiny-random-mistral.Q4_K_S.gguf | Q4_K_S | 0.01GB |
| tiny-random-mistral.Q4_K.gguf | Q4_K | 0.01GB |
| tiny-random-mistral.Q4_K_M.gguf | Q4_K_M | 0.01GB |
| tiny-random-mistral.Q4_1.gguf | Q4_1 | 0.01GB |
| tiny-random-mistral.Q5_0.gguf | Q5_0 | 0.01GB |
| tiny-random-mistral.Q5_K_S.gguf | Q5_K_S | 0.01GB |
| tiny-random-mistral.Q5_K.gguf | Q5_K | 0.01GB |
| tiny-random-mistral.Q5_K_M.gguf | Q5_K_M | 0.01GB |
| tiny-random-mistral.Q5_1.gguf | Q5_1 | 0.01GB |
| tiny-random-mistral.Q6_K.gguf | Q6_K | 0.01GB |
| tiny-random-mistral.Q8_0.gguf | Q8_0 | 0.01GB |
Original model description:
library_name: transformers tags:
- tiny
- random license: mit pipeline_tag: text-generation
🤏🏻 tiny-random-mistral
This is a tiny model created using MistralForCausalLM for testing purposes, initialized with random weights. While the tokenizer is ported from mistralai/Mistral-7B-v0.1.
- Created
- Oct 9, 2024
- Updated
- Oct 9, 2024