初始化项目，由ModelHub XC社区提供模型
Model: legraphista/dolphin-2.9.1-llama-3-8b-IMat-GGUF Source: Original Platform
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dolphin-2.9.1-llama-3-8b.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
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dolphin-2.9.1-llama-3-8b.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
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dolphin-2.9.1-llama-3-8b.Q5_K.gguf filter=lfs diff=lfs merge=lfs -text
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dolphin-2.9.1-llama-3-8b.FP16.gguf filter=lfs diff=lfs merge=lfs -text
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dolphin-2.9.1-llama-3-8b.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
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dolphin-2.9.1-llama-3-8b.BF16.gguf filter=lfs diff=lfs merge=lfs -text
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imatrix.dat filter=lfs diff=lfs merge=lfs -text
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dolphin-2.9.1-llama-3-8b.Q3_K.gguf filter=lfs diff=lfs merge=lfs -text
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dolphin-2.9.1-llama-3-8b.Q4_K.gguf filter=lfs diff=lfs merge=lfs -text
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dolphin-2.9.1-llama-3-8b.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
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dolphin-2.9.1-llama-3-8b.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
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dolphin-2.9.1-llama-3-8b.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
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dolphin-2.9.1-llama-3-8b.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
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dolphin-2.9.1-llama-3-8b.Q2_K_S.gguf filter=lfs diff=lfs merge=lfs -text
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dolphin-2.9.1-llama-3-8b.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
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dolphin-2.9.1-llama-3-8b.IQ4_NL.gguf filter=lfs diff=lfs merge=lfs -text
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dolphin-2.9.1-llama-3-8b.IQ3_M.gguf filter=lfs diff=lfs merge=lfs -text
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dolphin-2.9.1-llama-3-8b.IQ3_S.gguf filter=lfs diff=lfs merge=lfs -text
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dolphin-2.9.1-llama-3-8b.IQ3_XS.gguf filter=lfs diff=lfs merge=lfs -text
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dolphin-2.9.1-llama-3-8b.IQ3_XXS.gguf filter=lfs diff=lfs merge=lfs -text
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dolphin-2.9.1-llama-3-8b.IQ2_M.gguf filter=lfs diff=lfs merge=lfs -text
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dolphin-2.9.1-llama-3-8b.IQ2_S.gguf filter=lfs diff=lfs merge=lfs -text
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dolphin-2.9.1-llama-3-8b.IQ2_XS.gguf filter=lfs diff=lfs merge=lfs -text
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dolphin-2.9.1-llama-3-8b.IQ2_XXS.gguf filter=lfs diff=lfs merge=lfs -text
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dolphin-2.9.1-llama-3-8b.IQ1_M.gguf filter=lfs diff=lfs merge=lfs -text
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dolphin-2.9.1-llama-3-8b.IQ1_S.gguf filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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base_model: cognitivecomputations/dolphin-2.9.1-llama-3-8b
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datasets:
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- cognitivecomputations/Dolphin-2.9
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- teknium/OpenHermes-2.5
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- m-a-p/CodeFeedback-Filtered-Instruction
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- cognitivecomputations/dolphin-coder
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- cognitivecomputations/samantha-data
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- microsoft/orca-math-word-problems-200k
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- Locutusque/function-calling-chatml
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- internlm/Agent-FLAN
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inference: false
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library_name: gguf
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license: other
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model-index:
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- name: out
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results: []
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pipeline_tag: text-generation
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quantized_by: legraphista
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tags:
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- quantized
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- GGUF
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- imatrix
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- quantization
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- imat
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- imatrix
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- static
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---
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# dolphin-2.9.1-llama-3-8b-IMat-GGUF
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_Llama.cpp imatrix quantization of cognitivecomputations/dolphin-2.9.1-llama-3-8b_
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Original Model: [cognitivecomputations/dolphin-2.9.1-llama-3-8b](https://huggingface.co/cognitivecomputations/dolphin-2.9.1-llama-3-8b)
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Original dtype: `BF16` (`bfloat16`)
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Quantized by: llama.cpp [b3006](https://github.com/ggerganov/llama.cpp/releases/tag/b3006)
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IMatrix dataset: [here](https://gist.githubusercontent.com/legraphista/d6d93f1a254bcfc58e0af3777eaec41e/raw/d380e7002cea4a51c33fffd47db851942754e7cc/imatrix.calibration.medium.raw)
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- [dolphin-2.9.1-llama-3-8b-IMat-GGUF](#dolphin-2-9-1-llama-3-8b-imat-gguf)
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- [Files](#files)
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- [IMatrix](#imatrix)
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- [Common Quants](#common-quants)
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- [All Quants](#all-quants)
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- [Downloading using huggingface-cli](#downloading-using-huggingface-cli)
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- [Inference](#inference)
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- [Simple chat template](#simple-chat-template)
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- [Chat template with system prompt](#chat-template-with-system-prompt)
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- [Llama.cpp](#llama-cpp)
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- [FAQ](#faq)
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- [Why is the IMatrix not applied everywhere?](#why-is-the-imatrix-not-applied-everywhere)
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- [How do I merge a split GGUF?](#how-do-i-merge-a-split-gguf)
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---
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## Files
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### IMatrix
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Status: ✅ Available
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Link: [here](https://huggingface.co/legraphista/dolphin-2.9.1-llama-3-8b-IMat-GGUF/blob/main/imatrix.dat)
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### Common Quants
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| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |
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| -------- | ---------- | --------- | ------ | ------------ | -------- |
|
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| [dolphin-2.9.1-llama-3-8b.Q8_0.gguf](https://huggingface.co/legraphista/dolphin-2.9.1-llama-3-8b-IMat-GGUF/blob/main/dolphin-2.9.1-llama-3-8b.Q8_0.gguf) | Q8_0 | 8.54GB | ✅ Available | ⚪ Static | 📦 No
|
||||
| [dolphin-2.9.1-llama-3-8b.Q6_K.gguf](https://huggingface.co/legraphista/dolphin-2.9.1-llama-3-8b-IMat-GGUF/blob/main/dolphin-2.9.1-llama-3-8b.Q6_K.gguf) | Q6_K | 6.60GB | ✅ Available | ⚪ Static | 📦 No
|
||||
| [dolphin-2.9.1-llama-3-8b.Q4_K.gguf](https://huggingface.co/legraphista/dolphin-2.9.1-llama-3-8b-IMat-GGUF/blob/main/dolphin-2.9.1-llama-3-8b.Q4_K.gguf) | Q4_K | 4.92GB | ✅ Available | 🟢 IMatrix | 📦 No
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| [dolphin-2.9.1-llama-3-8b.Q3_K.gguf](https://huggingface.co/legraphista/dolphin-2.9.1-llama-3-8b-IMat-GGUF/blob/main/dolphin-2.9.1-llama-3-8b.Q3_K.gguf) | Q3_K | 4.02GB | ✅ Available | 🟢 IMatrix | 📦 No
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||||
| [dolphin-2.9.1-llama-3-8b.Q2_K.gguf](https://huggingface.co/legraphista/dolphin-2.9.1-llama-3-8b-IMat-GGUF/blob/main/dolphin-2.9.1-llama-3-8b.Q2_K.gguf) | Q2_K | 3.18GB | ✅ Available | 🟢 IMatrix | 📦 No
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### All Quants
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| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |
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| -------- | ---------- | --------- | ------ | ------------ | -------- |
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| [dolphin-2.9.1-llama-3-8b.FP16.gguf](https://huggingface.co/legraphista/dolphin-2.9.1-llama-3-8b-IMat-GGUF/blob/main/dolphin-2.9.1-llama-3-8b.FP16.gguf) | F16 | 16.07GB | ✅ Available | ⚪ Static | 📦 No
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| [dolphin-2.9.1-llama-3-8b.BF16.gguf](https://huggingface.co/legraphista/dolphin-2.9.1-llama-3-8b-IMat-GGUF/blob/main/dolphin-2.9.1-llama-3-8b.BF16.gguf) | BF16 | 16.07GB | ✅ Available | ⚪ Static | 📦 No
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||||
| [dolphin-2.9.1-llama-3-8b.Q5_K.gguf](https://huggingface.co/legraphista/dolphin-2.9.1-llama-3-8b-IMat-GGUF/blob/main/dolphin-2.9.1-llama-3-8b.Q5_K.gguf) | Q5_K | 5.73GB | ✅ Available | ⚪ Static | 📦 No
|
||||
| [dolphin-2.9.1-llama-3-8b.Q5_K_S.gguf](https://huggingface.co/legraphista/dolphin-2.9.1-llama-3-8b-IMat-GGUF/blob/main/dolphin-2.9.1-llama-3-8b.Q5_K_S.gguf) | Q5_K_S | 5.60GB | ✅ Available | ⚪ Static | 📦 No
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||||
| [dolphin-2.9.1-llama-3-8b.Q4_K_S.gguf](https://huggingface.co/legraphista/dolphin-2.9.1-llama-3-8b-IMat-GGUF/blob/main/dolphin-2.9.1-llama-3-8b.Q4_K_S.gguf) | Q4_K_S | 4.69GB | ✅ Available | 🟢 IMatrix | 📦 No
|
||||
| [dolphin-2.9.1-llama-3-8b.Q3_K_L.gguf](https://huggingface.co/legraphista/dolphin-2.9.1-llama-3-8b-IMat-GGUF/blob/main/dolphin-2.9.1-llama-3-8b.Q3_K_L.gguf) | Q3_K_L | 4.32GB | ✅ Available | 🟢 IMatrix | 📦 No
|
||||
| [dolphin-2.9.1-llama-3-8b.Q3_K_S.gguf](https://huggingface.co/legraphista/dolphin-2.9.1-llama-3-8b-IMat-GGUF/blob/main/dolphin-2.9.1-llama-3-8b.Q3_K_S.gguf) | Q3_K_S | 3.66GB | ✅ Available | 🟢 IMatrix | 📦 No
|
||||
| [dolphin-2.9.1-llama-3-8b.Q2_K_S.gguf](https://huggingface.co/legraphista/dolphin-2.9.1-llama-3-8b-IMat-GGUF/blob/main/dolphin-2.9.1-llama-3-8b.Q2_K_S.gguf) | Q2_K_S | 2.99GB | ✅ Available | 🟢 IMatrix | 📦 No
|
||||
| [dolphin-2.9.1-llama-3-8b.IQ4_NL.gguf](https://huggingface.co/legraphista/dolphin-2.9.1-llama-3-8b-IMat-GGUF/blob/main/dolphin-2.9.1-llama-3-8b.IQ4_NL.gguf) | IQ4_NL | 4.68GB | ✅ Available | 🟢 IMatrix | 📦 No
|
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| [dolphin-2.9.1-llama-3-8b.IQ4_XS.gguf](https://huggingface.co/legraphista/dolphin-2.9.1-llama-3-8b-IMat-GGUF/blob/main/dolphin-2.9.1-llama-3-8b.IQ4_XS.gguf) | IQ4_XS | 4.45GB | ✅ Available | 🟢 IMatrix | 📦 No
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||||
| [dolphin-2.9.1-llama-3-8b.IQ3_M.gguf](https://huggingface.co/legraphista/dolphin-2.9.1-llama-3-8b-IMat-GGUF/blob/main/dolphin-2.9.1-llama-3-8b.IQ3_M.gguf) | IQ3_M | 3.78GB | ✅ Available | 🟢 IMatrix | 📦 No
|
||||
| [dolphin-2.9.1-llama-3-8b.IQ3_S.gguf](https://huggingface.co/legraphista/dolphin-2.9.1-llama-3-8b-IMat-GGUF/blob/main/dolphin-2.9.1-llama-3-8b.IQ3_S.gguf) | IQ3_S | 3.68GB | ✅ Available | 🟢 IMatrix | 📦 No
|
||||
| [dolphin-2.9.1-llama-3-8b.IQ3_XS.gguf](https://huggingface.co/legraphista/dolphin-2.9.1-llama-3-8b-IMat-GGUF/blob/main/dolphin-2.9.1-llama-3-8b.IQ3_XS.gguf) | IQ3_XS | 3.52GB | ✅ Available | 🟢 IMatrix | 📦 No
|
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| [dolphin-2.9.1-llama-3-8b.IQ3_XXS.gguf](https://huggingface.co/legraphista/dolphin-2.9.1-llama-3-8b-IMat-GGUF/blob/main/dolphin-2.9.1-llama-3-8b.IQ3_XXS.gguf) | IQ3_XXS | 3.27GB | ✅ Available | 🟢 IMatrix | 📦 No
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| [dolphin-2.9.1-llama-3-8b.IQ2_M.gguf](https://huggingface.co/legraphista/dolphin-2.9.1-llama-3-8b-IMat-GGUF/blob/main/dolphin-2.9.1-llama-3-8b.IQ2_M.gguf) | IQ2_M | 2.95GB | ✅ Available | 🟢 IMatrix | 📦 No
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| [dolphin-2.9.1-llama-3-8b.IQ2_S.gguf](https://huggingface.co/legraphista/dolphin-2.9.1-llama-3-8b-IMat-GGUF/blob/main/dolphin-2.9.1-llama-3-8b.IQ2_S.gguf) | IQ2_S | 2.76GB | ✅ Available | 🟢 IMatrix | 📦 No
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||||
| [dolphin-2.9.1-llama-3-8b.IQ2_XS.gguf](https://huggingface.co/legraphista/dolphin-2.9.1-llama-3-8b-IMat-GGUF/blob/main/dolphin-2.9.1-llama-3-8b.IQ2_XS.gguf) | IQ2_XS | 2.61GB | ✅ Available | 🟢 IMatrix | 📦 No
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||||
| [dolphin-2.9.1-llama-3-8b.IQ2_XXS.gguf](https://huggingface.co/legraphista/dolphin-2.9.1-llama-3-8b-IMat-GGUF/blob/main/dolphin-2.9.1-llama-3-8b.IQ2_XXS.gguf) | IQ2_XXS | 2.40GB | ✅ Available | 🟢 IMatrix | 📦 No
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||||
| [dolphin-2.9.1-llama-3-8b.IQ1_M.gguf](https://huggingface.co/legraphista/dolphin-2.9.1-llama-3-8b-IMat-GGUF/blob/main/dolphin-2.9.1-llama-3-8b.IQ1_M.gguf) | IQ1_M | 2.16GB | ✅ Available | 🟢 IMatrix | 📦 No
|
||||
| [dolphin-2.9.1-llama-3-8b.IQ1_S.gguf](https://huggingface.co/legraphista/dolphin-2.9.1-llama-3-8b-IMat-GGUF/blob/main/dolphin-2.9.1-llama-3-8b.IQ1_S.gguf) | IQ1_S | 2.02GB | ✅ Available | 🟢 IMatrix | 📦 No
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## Downloading using huggingface-cli
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If you do not have hugginface-cli installed:
|
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```
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pip install -U "huggingface_hub[cli]"
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```
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Download the specific file you want:
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```
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huggingface-cli download legraphista/dolphin-2.9.1-llama-3-8b-IMat-GGUF --include "dolphin-2.9.1-llama-3-8b.Q8_0.gguf" --local-dir ./
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```
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If the model file is big, it has been split into multiple files. In order to download them all to a local folder, run:
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```
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huggingface-cli download legraphista/dolphin-2.9.1-llama-3-8b-IMat-GGUF --include "dolphin-2.9.1-llama-3-8b.Q8_0/*" --local-dir dolphin-2.9.1-llama-3-8b.Q8_0
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# see FAQ for merging GGUF's
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```
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---
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## Inference
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### Simple chat template
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```
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<|im_start|>user
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Can you provide ways to eat combinations of bananas and dragonfruits?<|im_end|>
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<|im_start|>assistant
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Sure! Here are some ways to eat bananas and dragonfruits together:
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1. Banana and dragonfruit smoothie: Blend bananas and dragonfruits together with some milk and honey.
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2. Banana and dragonfruit salad: Mix sliced bananas and dragonfruits together with some lemon juice and honey.<|im_end|>
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<|im_start|>user
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What about solving an 2x + 3 = 7 equation?<|im_end|>
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```
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### Chat template with system prompt
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```
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<|im_start|>system
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You are a helpful AI.<|im_end|>
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<|im_start|>user
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Can you provide ways to eat combinations of bananas and dragonfruits?<|im_end|>
|
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<|im_start|>assistant
|
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Sure! Here are some ways to eat bananas and dragonfruits together:
|
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1. Banana and dragonfruit smoothie: Blend bananas and dragonfruits together with some milk and honey.
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2. Banana and dragonfruit salad: Mix sliced bananas and dragonfruits together with some lemon juice and honey.<|im_end|>
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<|im_start|>user
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What about solving an 2x + 3 = 7 equation?<|im_end|>
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```
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### Llama.cpp
|
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```
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llama.cpp/main -m dolphin-2.9.1-llama-3-8b.Q8_0.gguf --color -i -p "prompt here (according to the chat template)"
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```
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---
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## FAQ
|
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### Why is the IMatrix not applied everywhere?
|
||||
According to [this investigation](https://www.reddit.com/r/LocalLLaMA/comments/1993iro/ggufs_quants_can_punch_above_their_weights_now/), it appears that lower quantizations are the only ones that benefit from the imatrix input (as per hellaswag results).
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### How do I merge a split GGUF?
|
||||
1. Make sure you have `gguf-split` available
|
||||
- To get hold of `gguf-split`, navigate to https://github.com/ggerganov/llama.cpp/releases
|
||||
- Download the appropriate zip for your system from the latest release
|
||||
- Unzip the archive and you should be able to find `gguf-split`
|
||||
2. Locate your GGUF chunks folder (ex: `dolphin-2.9.1-llama-3-8b.Q8_0`)
|
||||
3. Run `gguf-split --merge dolphin-2.9.1-llama-3-8b.Q8_0/dolphin-2.9.1-llama-3-8b.Q8_0-00001-of-XXXXX.gguf dolphin-2.9.1-llama-3-8b.Q8_0.gguf`
|
||||
- Make sure to point `gguf-split` to the first chunk of the split.
|
||||
|
||||
---
|
||||
|
||||
Got a suggestion? Ping me [@legraphista](https://x.com/legraphista)!
|
||||
3
dolphin-2.9.1-llama-3-8b.BF16.gguf
Normal file
3
dolphin-2.9.1-llama-3-8b.BF16.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:698df4f7eaa6c2fa33a0c2aa6b97dfc0c465ae47caa85a9d7663f5053cc718dd
|
||||
size 16068923680
|
||||
3
dolphin-2.9.1-llama-3-8b.FP16.gguf
Normal file
3
dolphin-2.9.1-llama-3-8b.FP16.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:c2425c8bc4f18a16277fd3e7daacaff2237cb938b1aeaf0fb30ce5866530cf9d
|
||||
size 16068923680
|
||||
3
dolphin-2.9.1-llama-3-8b.IQ1_M.gguf
Normal file
3
dolphin-2.9.1-llama-3-8b.IQ1_M.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:9d21a386d24df05d76b6a365e4e225943ddfba2e809e7aa3e2cb6f053e3f9200
|
||||
size 2161980064
|
||||
3
dolphin-2.9.1-llama-3-8b.IQ1_S.gguf
Normal file
3
dolphin-2.9.1-llama-3-8b.IQ1_S.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:889afb9bba7bfea508367df1e001aa4b3b68afda1ac0bdce63f73d08fd8044e5
|
||||
size 2019635872
|
||||
3
dolphin-2.9.1-llama-3-8b.IQ2_M.gguf
Normal file
3
dolphin-2.9.1-llama-3-8b.IQ2_M.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:7d14c683a94dcd707bdc9b56e269e43d4a656607cfc4f404c526e4752fd6902e
|
||||
size 2948290016
|
||||
3
dolphin-2.9.1-llama-3-8b.IQ2_S.gguf
Normal file
3
dolphin-2.9.1-llama-3-8b.IQ2_S.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:15e19f4b4809e37fef65a631c2bba77a4cb6000841b1bf7e1c12306a1b1e63fe
|
||||
size 2758497760
|
||||
3
dolphin-2.9.1-llama-3-8b.IQ2_XS.gguf
Normal file
3
dolphin-2.9.1-llama-3-8b.IQ2_XS.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:8dfec0b1b3a684bd90cb613dc9f7a041c3d6daa510be130d49310adb778f9afa
|
||||
size 2605789856
|
||||
3
dolphin-2.9.1-llama-3-8b.IQ2_XXS.gguf
Normal file
3
dolphin-2.9.1-llama-3-8b.IQ2_XXS.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:2a2f011c70430c7a31832240d0f96604a5d2fe7466ef439a99e667c53151fd29
|
||||
size 2399220384
|
||||
3
dolphin-2.9.1-llama-3-8b.IQ3_M.gguf
Normal file
3
dolphin-2.9.1-llama-3-8b.IQ3_M.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:e5f38f1701969247e5e99daedc8f5ccf99ab2c7be0f3ce248af4a8e4039a8315
|
||||
size 3784833568
|
||||
3
dolphin-2.9.1-llama-3-8b.IQ3_S.gguf
Normal file
3
dolphin-2.9.1-llama-3-8b.IQ3_S.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:fa2920fb8c024027ed8545e166a87079605f919926b61f0e382757c6a50edc29
|
||||
size 3682335264
|
||||
3
dolphin-2.9.1-llama-3-8b.IQ3_XS.gguf
Normal file
3
dolphin-2.9.1-llama-3-8b.IQ3_XS.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:40be6a396646067fd6c8ed6caff56e0bbb01cfe9f7a70c16e27f523441ffcb0e
|
||||
size 3518757408
|
||||
3
dolphin-2.9.1-llama-3-8b.IQ3_XXS.gguf
Normal file
3
dolphin-2.9.1-llama-3-8b.IQ3_XXS.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:03eb6bfcee92b1fe042fd82507f5ac9022eb4e2445b332dfd339f0cb46f90319
|
||||
size 3274921440
|
||||
3
dolphin-2.9.1-llama-3-8b.IQ4_NL.gguf
Normal file
3
dolphin-2.9.1-llama-3-8b.IQ4_NL.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:184c230500512ac757ee4c921ef90b906702b08703b3ed4a707ed773e5677514
|
||||
size 4678000224
|
||||
3
dolphin-2.9.1-llama-3-8b.IQ4_XS.gguf
Normal file
3
dolphin-2.9.1-llama-3-8b.IQ4_XS.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:a3ae9ff2ec7f1a007243ef0cd7df8f3cd53a18a790feed9acbbd9b12c7fd49c6
|
||||
size 4447673696
|
||||
3
dolphin-2.9.1-llama-3-8b.Q2_K.gguf
Normal file
3
dolphin-2.9.1-llama-3-8b.Q2_K.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:193956974acfc394cce1e9e0d601aac004fde4123830a8bf443b91a6bc17c0f9
|
||||
size 3179140832
|
||||
3
dolphin-2.9.1-llama-3-8b.Q2_K_S.gguf
Normal file
3
dolphin-2.9.1-llama-3-8b.Q2_K_S.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:cf5fffb849e8244890e49905604036ebabfb6fe7653acaeaad8408360322d169
|
||||
size 2988824288
|
||||
3
dolphin-2.9.1-llama-3-8b.Q3_K.gguf
Normal file
3
dolphin-2.9.1-llama-3-8b.Q3_K.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:c3a2dea112a7d5b45ac21521c6d8b05c949ab3fd57d541778c26a592301d7165
|
||||
size 4018928160
|
||||
3
dolphin-2.9.1-llama-3-8b.Q3_K_L.gguf
Normal file
3
dolphin-2.9.1-llama-3-8b.Q3_K_L.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:d5963794dd80114ed0b529488b10cc75cb23752352d15a67f927657d8cda7d74
|
||||
size 4321966624
|
||||
3
dolphin-2.9.1-llama-3-8b.Q3_K_S.gguf
Normal file
3
dolphin-2.9.1-llama-3-8b.Q3_K_S.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:2e258f2e55b44a93969be102261f7eb3fc79c5d253469cf9d9784ae96da7c935
|
||||
size 3664509472
|
||||
3
dolphin-2.9.1-llama-3-8b.Q4_K.gguf
Normal file
3
dolphin-2.9.1-llama-3-8b.Q4_K.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:d5da28e29794a1331a90477d3f39dd8824d6cf5eddd443b08ed08f3f6e683f27
|
||||
size 4920745568
|
||||
3
dolphin-2.9.1-llama-3-8b.Q4_K_S.gguf
Normal file
3
dolphin-2.9.1-llama-3-8b.Q4_K_S.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:3b41f338c6bcfdf29b6f1b69a514c46dbc91d5a137cf6b8b9c08d4e8a7672161
|
||||
size 4692680288
|
||||
3
dolphin-2.9.1-llama-3-8b.Q5_K.gguf
Normal file
3
dolphin-2.9.1-llama-3-8b.Q5_K.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:0e4a1637ca10fde28829627b1adb9e7e5611bf8d7fbf5d3a0ea7e2e3ca62a642
|
||||
size 5732999520
|
||||
3
dolphin-2.9.1-llama-3-8b.Q5_K_S.gguf
Normal file
3
dolphin-2.9.1-llama-3-8b.Q5_K_S.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:2ee82bb3ab53431f8eb308a56ad0b28db7759a8072542e749bb4d1731661c05f
|
||||
size 5599306080
|
||||
3
dolphin-2.9.1-llama-3-8b.Q6_K.gguf
Normal file
3
dolphin-2.9.1-llama-3-8b.Q6_K.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:d9e4fd16806d9af4d5cec83dc2153fbaa1b9d9c2e801e19805d110e9c553098a
|
||||
size 6596019616
|
||||
3
dolphin-2.9.1-llama-3-8b.Q8_0.gguf
Normal file
3
dolphin-2.9.1-llama-3-8b.Q8_0.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:4ec41846af26d9d6c2eb544e8047ff17c5bec82c3266b205ed0f7d91a6c16aac
|
||||
size 8540788000
|
||||
3
imatrix.dat
Normal file
3
imatrix.dat
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:194df99b2b1af14e76014e5ff747f9e2e6714c943754b2e0f5654adce8c4dcc7
|
||||
size 4988184
|
||||
3142
imatrix.dataset
Normal file
3142
imatrix.dataset
Normal file
File diff suppressed because one or more lines are too long
153
imatrix.log
Normal file
153
imatrix.log
Normal file
@@ -0,0 +1,153 @@
|
||||
main: build = 3006 (eaf6e031)
|
||||
main: built with cc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0 for x86_64-linux-gnu
|
||||
main: seed = 1716798931
|
||||
llama_model_loader: loaded meta data with 23 key-value pairs and 291 tensors from dolphin-2.9.1-llama-3-8b-IMat-GGUF/dolphin-2.9.1-llama-3-8b.gguf (version GGUF V3 (latest))
|
||||
llama_model_loader: Dumping metadata keys/values. Note: KV overrides do not apply in this output.
|
||||
llama_model_loader: - kv 0: general.architecture str = llama
|
||||
llama_model_loader: - kv 1: general.name str = dolphin-2.9.1-llama-3-8b
|
||||
llama_model_loader: - kv 2: llama.block_count u32 = 32
|
||||
llama_model_loader: - kv 3: llama.context_length u32 = 8192
|
||||
llama_model_loader: - kv 4: llama.embedding_length u32 = 4096
|
||||
llama_model_loader: - kv 5: llama.feed_forward_length u32 = 14336
|
||||
llama_model_loader: - kv 6: llama.attention.head_count u32 = 32
|
||||
llama_model_loader: - kv 7: llama.attention.head_count_kv u32 = 8
|
||||
llama_model_loader: - kv 8: llama.rope.freq_base f32 = 500000.000000
|
||||
llama_model_loader: - kv 9: llama.attention.layer_norm_rms_epsilon f32 = 0.000010
|
||||
llama_model_loader: - kv 10: general.file_type u32 = 1
|
||||
llama_model_loader: - kv 11: llama.vocab_size u32 = 128258
|
||||
llama_model_loader: - kv 12: llama.rope.dimension_count u32 = 128
|
||||
llama_model_loader: - kv 13: tokenizer.ggml.model str = gpt2
|
||||
llama_model_loader: - kv 14: tokenizer.ggml.pre str = llama-bpe
|
||||
llama_model_loader: - kv 15: tokenizer.ggml.tokens arr[str,128258] = ["!", "\"", "#", "$", "%", "&", "'", ...
|
||||
llama_model_loader: - kv 16: tokenizer.ggml.token_type arr[i32,128258] = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
|
||||
llama_model_loader: - kv 17: tokenizer.ggml.merges arr[str,280147] = ["Ġ Ġ", "Ġ ĠĠĠ", "ĠĠ ĠĠ", "...
|
||||
llama_model_loader: - kv 18: tokenizer.ggml.bos_token_id u32 = 128000
|
||||
llama_model_loader: - kv 19: tokenizer.ggml.eos_token_id u32 = 128256
|
||||
llama_model_loader: - kv 20: tokenizer.ggml.padding_token_id u32 = 128001
|
||||
llama_model_loader: - kv 21: tokenizer.chat_template str = {% if not add_generation_prompt is de...
|
||||
llama_model_loader: - kv 22: general.quantization_version u32 = 2
|
||||
llama_model_loader: - type f32: 65 tensors
|
||||
llama_model_loader: - type f16: 226 tensors
|
||||
llm_load_vocab: special tokens definition check successful ( 258/128258 ).
|
||||
llm_load_print_meta: format = GGUF V3 (latest)
|
||||
llm_load_print_meta: arch = llama
|
||||
llm_load_print_meta: vocab type = BPE
|
||||
llm_load_print_meta: n_vocab = 128258
|
||||
llm_load_print_meta: n_merges = 280147
|
||||
llm_load_print_meta: n_ctx_train = 8192
|
||||
llm_load_print_meta: n_embd = 4096
|
||||
llm_load_print_meta: n_head = 32
|
||||
llm_load_print_meta: n_head_kv = 8
|
||||
llm_load_print_meta: n_layer = 32
|
||||
llm_load_print_meta: n_rot = 128
|
||||
llm_load_print_meta: n_embd_head_k = 128
|
||||
llm_load_print_meta: n_embd_head_v = 128
|
||||
llm_load_print_meta: n_gqa = 4
|
||||
llm_load_print_meta: n_embd_k_gqa = 1024
|
||||
llm_load_print_meta: n_embd_v_gqa = 1024
|
||||
llm_load_print_meta: f_norm_eps = 0.0e+00
|
||||
llm_load_print_meta: f_norm_rms_eps = 1.0e-05
|
||||
llm_load_print_meta: f_clamp_kqv = 0.0e+00
|
||||
llm_load_print_meta: f_max_alibi_bias = 0.0e+00
|
||||
llm_load_print_meta: f_logit_scale = 0.0e+00
|
||||
llm_load_print_meta: n_ff = 14336
|
||||
llm_load_print_meta: n_expert = 0
|
||||
llm_load_print_meta: n_expert_used = 0
|
||||
llm_load_print_meta: causal attn = 1
|
||||
llm_load_print_meta: pooling type = 0
|
||||
llm_load_print_meta: rope type = 0
|
||||
llm_load_print_meta: rope scaling = linear
|
||||
llm_load_print_meta: freq_base_train = 500000.0
|
||||
llm_load_print_meta: freq_scale_train = 1
|
||||
llm_load_print_meta: n_yarn_orig_ctx = 8192
|
||||
llm_load_print_meta: rope_finetuned = unknown
|
||||
llm_load_print_meta: ssm_d_conv = 0
|
||||
llm_load_print_meta: ssm_d_inner = 0
|
||||
llm_load_print_meta: ssm_d_state = 0
|
||||
llm_load_print_meta: ssm_dt_rank = 0
|
||||
llm_load_print_meta: model type = 8B
|
||||
llm_load_print_meta: model ftype = F16
|
||||
llm_load_print_meta: model params = 8.03 B
|
||||
llm_load_print_meta: model size = 14.96 GiB (16.00 BPW)
|
||||
llm_load_print_meta: general.name = dolphin-2.9.1-llama-3-8b
|
||||
llm_load_print_meta: BOS token = 128000 '<|begin_of_text|>'
|
||||
llm_load_print_meta: EOS token = 128256 '<|im_end|>'
|
||||
llm_load_print_meta: PAD token = 128001 '<|end_of_text|>'
|
||||
llm_load_print_meta: LF token = 128 'Ä'
|
||||
llm_load_print_meta: EOT token = 128256 '<|im_end|>'
|
||||
ggml_cuda_init: GGML_CUDA_FORCE_MMQ: no
|
||||
ggml_cuda_init: CUDA_USE_TENSOR_CORES: yes
|
||||
ggml_cuda_init: found 1 CUDA devices:
|
||||
Device 0: NVIDIA GeForce RTX 4090, compute capability 8.9, VMM: yes
|
||||
llm_load_tensors: ggml ctx size = 0.30 MiB
|
||||
llm_load_tensors: offloading 32 repeating layers to GPU
|
||||
llm_load_tensors: offloading non-repeating layers to GPU
|
||||
llm_load_tensors: offloaded 33/33 layers to GPU
|
||||
llm_load_tensors: CPU buffer size = 1002.02 MiB
|
||||
llm_load_tensors: CUDA0 buffer size = 14315.03 MiB
|
||||
.........................................................................................
|
||||
llama_new_context_with_model: n_ctx = 512
|
||||
llama_new_context_with_model: n_batch = 512
|
||||
llama_new_context_with_model: n_ubatch = 512
|
||||
llama_new_context_with_model: flash_attn = 0
|
||||
llama_new_context_with_model: freq_base = 500000.0
|
||||
llama_new_context_with_model: freq_scale = 1
|
||||
llama_kv_cache_init: CUDA0 KV buffer size = 64.00 MiB
|
||||
llama_new_context_with_model: KV self size = 64.00 MiB, K (f16): 32.00 MiB, V (f16): 32.00 MiB
|
||||
llama_new_context_with_model: CUDA_Host output buffer size = 0.49 MiB
|
||||
llama_new_context_with_model: CUDA0 compute buffer size = 258.50 MiB
|
||||
llama_new_context_with_model: CUDA_Host compute buffer size = 9.01 MiB
|
||||
llama_new_context_with_model: graph nodes = 1030
|
||||
llama_new_context_with_model: graph splits = 2
|
||||
|
||||
system_info: n_threads = 25 / 32 | AVX = 1 | AVX_VNNI = 0 | AVX2 = 1 | AVX512 = 1 | AVX512_VBMI = 1 | AVX512_VNNI = 1 | AVX512_BF16 = 1 | FMA = 1 | NEON = 0 | SVE = 0 | ARM_FMA = 0 | F16C = 1 | FP16_VA = 0 | WASM_SIMD = 0 | BLAS = 1 | SSE3 = 1 | SSSE3 = 1 | VSX = 0 | MATMUL_INT8 = 0 | LLAMAFILE = 1 |
|
||||
compute_imatrix: tokenizing the input ..
|
||||
compute_imatrix: tokenization took 70.912 ms
|
||||
compute_imatrix: computing over 189 chunks with batch_size 512
|
||||
compute_imatrix: 0.52 seconds per pass - ETA 1.63 minutes
|
||||
[1]9.1784,[2]7.1409,[3]6.1731,[4]7.8394,[5]8.1180,[6]6.6396,[7]7.2136,[8]8.2216,[9]8.3952,
|
||||
save_imatrix: stored collected data after 10 chunks in dolphin-2.9.1-llama-3-8b-IMat-GGUF/imatrix.dat
|
||||
[10]8.3728,[11]8.9763,[12]8.5482,[13]9.2517,[14]9.8158,[15]10.1556,[16]10.8281,[17]11.6711,[18]11.8423,[19]11.1913,
|
||||
save_imatrix: stored collected data after 20 chunks in dolphin-2.9.1-llama-3-8b-IMat-GGUF/imatrix.dat
|
||||
[20]11.0897,[21]10.5621,[22]9.7523,[23]9.4173,[24]9.1698,[25]9.5668,[26]9.8318,[27]10.0436,[28]10.1748,[29]9.7068,
|
||||
save_imatrix: stored collected data after 30 chunks in dolphin-2.9.1-llama-3-8b-IMat-GGUF/imatrix.dat
|
||||
[30]9.3447,[31]9.1863,[32]9.1298,[33]9.0470,[34]9.0370,[35]9.1829,[36]9.3919,[37]9.6569,[38]9.7511,[39]10.0391,
|
||||
save_imatrix: stored collected data after 40 chunks in dolphin-2.9.1-llama-3-8b-IMat-GGUF/imatrix.dat
|
||||
[40]10.3080,[41]10.6332,[42]10.8357,[43]11.1169,[44]11.0848,[45]11.0982,[46]11.2562,[47]11.4305,[48]11.4772,[49]11.5835,
|
||||
save_imatrix: stored collected data after 50 chunks in dolphin-2.9.1-llama-3-8b-IMat-GGUF/imatrix.dat
|
||||
[50]11.6733,[51]11.7400,[52]11.6936,[53]11.7463,[54]11.7177,[55]11.6926,[56]11.6243,[57]11.6318,[58]11.7222,[59]11.9595,
|
||||
save_imatrix: stored collected data after 60 chunks in dolphin-2.9.1-llama-3-8b-IMat-GGUF/imatrix.dat
|
||||
[60]12.0720,[61]11.9408,[62]11.8685,[63]11.7829,[64]11.7672,[65]11.6349,[66]11.5824,[67]11.4307,[68]11.4207,[69]11.3455,
|
||||
save_imatrix: stored collected data after 70 chunks in dolphin-2.9.1-llama-3-8b-IMat-GGUF/imatrix.dat
|
||||
[70]11.4202,[71]11.5000,[72]11.5165,[73]11.4903,[74]11.5322,[75]11.4093,[76]11.3549,[77]11.2360,[78]11.2357,[79]11.1787,
|
||||
save_imatrix: stored collected data after 80 chunks in dolphin-2.9.1-llama-3-8b-IMat-GGUF/imatrix.dat
|
||||
[80]11.1356,[81]11.1279,[82]11.0307,[83]10.9191,[84]10.9476,[85]11.0194,[86]11.0145,[87]10.9111,[88]10.9025,[89]10.9078,
|
||||
save_imatrix: stored collected data after 90 chunks in dolphin-2.9.1-llama-3-8b-IMat-GGUF/imatrix.dat
|
||||
[90]10.9639,[91]10.9442,[92]10.9349,[93]10.9655,[94]11.0145,[95]10.9527,[96]10.9654,[97]10.9747,[98]10.9568,[99]10.9686,
|
||||
save_imatrix: stored collected data after 100 chunks in dolphin-2.9.1-llama-3-8b-IMat-GGUF/imatrix.dat
|
||||
[100]10.9664,[101]10.9350,[102]10.9368,[103]10.9807,[104]11.0048,[105]10.9988,[106]11.0412,[107]11.0640,[108]10.9587,[109]10.9693,
|
||||
save_imatrix: stored collected data after 110 chunks in dolphin-2.9.1-llama-3-8b-IMat-GGUF/imatrix.dat
|
||||
[110]10.9356,[111]10.8382,[112]10.7911,[113]10.7187,[114]10.6528,[115]10.5696,[116]10.5105,[117]10.4490,[118]10.3922,[119]10.4675,
|
||||
save_imatrix: stored collected data after 120 chunks in dolphin-2.9.1-llama-3-8b-IMat-GGUF/imatrix.dat
|
||||
[120]10.4796,[121]10.5119,[122]10.5922,[123]10.6346,[124]10.7205,[125]10.8233,[126]10.9137,[127]11.0256,[128]11.1374,[129]11.2712,
|
||||
save_imatrix: stored collected data after 130 chunks in dolphin-2.9.1-llama-3-8b-IMat-GGUF/imatrix.dat
|
||||
[130]11.2120,[131]11.2382,[132]11.2576,[133]11.2884,[134]11.2568,[135]11.2486,[136]11.3074,[137]11.3059,[138]11.3240,[139]11.3672,
|
||||
save_imatrix: stored collected data after 140 chunks in dolphin-2.9.1-llama-3-8b-IMat-GGUF/imatrix.dat
|
||||
[140]11.3863,[141]11.3803,[142]11.4039,[143]11.3482,[144]11.3781,[145]11.4219,[146]11.4362,[147]11.4453,[148]11.4672,[149]11.4926,
|
||||
save_imatrix: stored collected data after 150 chunks in dolphin-2.9.1-llama-3-8b-IMat-GGUF/imatrix.dat
|
||||
[150]11.4594,[151]11.4308,[152]11.4498,[153]11.4699,[154]11.5420,[155]11.4944,[156]11.4899,[157]11.5502,[158]11.6104,[159]11.7480,
|
||||
save_imatrix: stored collected data after 160 chunks in dolphin-2.9.1-llama-3-8b-IMat-GGUF/imatrix.dat
|
||||
[160]11.8423,[161]11.8709,[162]11.8969,[163]11.9097,[164]11.9378,[165]11.9857,[166]11.9943,[167]11.9998,[168]12.0112,[169]12.0437,
|
||||
save_imatrix: stored collected data after 170 chunks in dolphin-2.9.1-llama-3-8b-IMat-GGUF/imatrix.dat
|
||||
[170]12.0301,[171]12.0139,[172]12.0363,[173]12.0320,[174]12.0483,[175]12.0209,[176]12.0146,[177]12.0165,[178]12.0192,[179]12.0088,
|
||||
save_imatrix: stored collected data after 180 chunks in dolphin-2.9.1-llama-3-8b-IMat-GGUF/imatrix.dat
|
||||
[180]11.9846,[181]12.0050,[182]11.9704,[183]12.0021,[184]12.0202,[185]12.0840,[186]12.1126,[187]12.1348,[188]12.0675,[189]12.0083,
|
||||
save_imatrix: stored collected data after 189 chunks in dolphin-2.9.1-llama-3-8b-IMat-GGUF/imatrix.dat
|
||||
|
||||
llama_print_timings: load time = 2201.22 ms
|
||||
llama_print_timings: sample time = 0.00 ms / 1 runs ( 0.00 ms per token, inf tokens per second)
|
||||
llama_print_timings: prompt eval time = 78396.70 ms / 96768 tokens ( 0.81 ms per token, 1234.34 tokens per second)
|
||||
llama_print_timings: eval time = 0.00 ms / 1 runs ( 0.00 ms per token, inf tokens per second)
|
||||
llama_print_timings: total time = 81299.68 ms / 96769 tokens
|
||||
|
||||
Final estimate: PPL = 12.0083 +/- 0.17709
|
||||
Reference in New Issue
Block a user