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RichardErkhov/Undi95_-_Mistral-11B-CC-Air-gguf
Undi95_-_Mistral-11B-CC-Air-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
128
25% of all-time downloads
All-time downloads
516
Public
Repo size
108 GB
Likes
0
Public
Click a slice to open those files.
.gguf127 GB · 100%
From the Hugging Face model README
Quantization made by Richard Erkhov.
Mistral-11B-CC-Air - GGUF
| Name | Quant method | Size |
|---|---|---|
| Mistral-11B-CC-Air.Q2_K.gguf | Q2_K | 3.73GB |
| Mistral-11B-CC-Air.Q3_K_S.gguf | Q3_K_S | 4.34GB |
| Mistral-11B-CC-Air.Q3_K.gguf | Q3_K | 4.84GB |
| Mistral-11B-CC-Air.Q3_K_M.gguf | Q3_K_M | 4.84GB |
| Mistral-11B-CC-Air.Q3_K_L.gguf | Q3_K_L | 5.26GB |
| Mistral-11B-CC-Air.IQ4_XS.gguf | IQ4_XS | 5.43GB |
| Mistral-11B-CC-Air.Q4_0.gguf | Q4_0 | 5.66GB |
| Mistral-11B-CC-Air.IQ4_NL.gguf | IQ4_NL | 5.72GB |
| Mistral-11B-CC-Air.Q4_K_S.gguf | Q4_K_S | 5.7GB |
| Mistral-11B-CC-Air.Q4_K.gguf | Q4_K | 6.02GB |
| Mistral-11B-CC-Air.Q4_K_M.gguf | Q4_K_M | 6.02GB |
| Mistral-11B-CC-Air.Q4_1.gguf | Q4_1 | 6.27GB |
| Mistral-11B-CC-Air.Q5_0.gguf | Q5_0 | 6.89GB |
| Mistral-11B-CC-Air.Q5_K_S.gguf | Q5_K_S | 6.89GB |
| Mistral-11B-CC-Air.Q5_K.gguf | Q5_K | 7.08GB |
| Mistral-11B-CC-Air.Q5_K_M.gguf | Q5_K_M | 7.08GB |
| Mistral-11B-CC-Air.Q5_1.gguf | Q5_1 | 7.51GB |
| Mistral-11B-CC-Air.Q6_K.gguf | Q6_K | 8.2GB |
| Mistral-11B-CC-Air.Q8_0.gguf | Q8_0 | 10.62GB |
license: apache-2.0 tags:
CollectiveCognition-v1.1-Mistral-7B and airoboros-mistral2.2-7b glued together.
<!-- description start -->This repo contains fp16 files of Mistral-11B-CC-Air.
<!-- description end --> <!-- description start -->Below is an instruction that describes a task. Write a response that appropriately completes the request.
### Instruction:
{prompt}
### Response:
USER: <prompt>
ASSISTANT:
slices:
- sources:
- model: teknium/CollectiveCognition-v1.1-Mistral-7B
layer_range: [0, 24]
- sources:
- model: teknium/airoboros-mistral2.2-7b
layer_range: [8, 32]
merge_method: passthrough
dtype: float16
Special thanks to Sushi.
If you want to support me, you can here.