初始化项目，由ModelHub XC社区提供模型

Model: legraphista/Llama-3.1-Storm-8B-IMat-GGUF Source: Original Platform
2026-07-24 22:47:14 +08:00
commit fd72899d08
30 changed files with 2947 additions and 0 deletions
--- a/.gitattributes
+++ b/.gitattributes
@@ -0,0 +1,61 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+imatrix.dat filter=lfs diff=lfs merge=lfs -text
+Llama-3.1-Storm-8B.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3.1-Storm-8B.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3.1-Storm-8B.Q5_K.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3.1-Storm-8B.BF16.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3.1-Storm-8B.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3.1-Storm-8B.Q4_K.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3.1-Storm-8B.FP16.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3.1-Storm-8B.Q3_K.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3.1-Storm-8B.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3.1-Storm-8B.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3.1-Storm-8B.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3.1-Storm-8B.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3.1-Storm-8B.Q2_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3.1-Storm-8B.IQ4_NL.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3.1-Storm-8B.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3.1-Storm-8B.IQ3_M.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3.1-Storm-8B.IQ3_S.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3.1-Storm-8B.IQ3_XS.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3.1-Storm-8B.IQ3_XXS.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3.1-Storm-8B.IQ2_M.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3.1-Storm-8B.IQ2_S.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3.1-Storm-8B.IQ2_XS.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3.1-Storm-8B.IQ2_XXS.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3.1-Storm-8B.IQ1_M.gguf filter=lfs diff=lfs merge=lfs -text
+Llama-3.1-Storm-8B.IQ1_S.gguf filter=lfs diff=lfs merge=lfs -text
--- a/Llama-3.1-Storm-8B.BF16.gguf
+++ b/Llama-3.1-Storm-8B.BF16.gguf
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d3fbbde17fb44ac4db4cde36051974ed355ce1944198ff0ba24e5e9a489f9830
+size 16068891872
--- a/Llama-3.1-Storm-8B.FP16.gguf
+++ b/Llama-3.1-Storm-8B.FP16.gguf
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d0fb421e3c1e17c3159d0f1eccbfe5c00622c9a63a7bb3236043535877f09e9e
+size 16068891872
--- a/Llama-3.1-Storm-8B.IQ1_M.gguf
+++ b/Llama-3.1-Storm-8B.IQ1_M.gguf
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c5418262b238662ab4eb7f2545239a28b9d719d541a241cb9629f2909393af43
+size 2161972704
--- a/Llama-3.1-Storm-8B.IQ1_S.gguf
+++ b/Llama-3.1-Storm-8B.IQ1_S.gguf
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6722af46b8cf0c347fe82b73748f4e117c282bf881d25ec451c3e51ca9bb3880
+size 2019628512
--- a/Llama-3.1-Storm-8B.IQ2_M.gguf
+++ b/Llama-3.1-Storm-8B.IQ2_M.gguf
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:15b44655d3f875d5d3811d6de18f6b2d38bb0210d1671257985df33167ec9aa2
+size 2948281824
--- a/Llama-3.1-Storm-8B.IQ2_S.gguf
+++ b/Llama-3.1-Storm-8B.IQ2_S.gguf
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:64c99246aa519618375a88d66e7d5c8431d22adbbacfd0014164c6e99d117270
+size 2758489568
--- a/Llama-3.1-Storm-8B.IQ2_XS.gguf
+++ b/Llama-3.1-Storm-8B.IQ2_XS.gguf
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d3d65b652712f2c7547afbaccb7a821ac9fdae3c2c5a8cd6964ca5628c0880b7
+size 2605782496
--- a/Llama-3.1-Storm-8B.IQ2_XXS.gguf
+++ b/Llama-3.1-Storm-8B.IQ2_XXS.gguf
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0d1540e6b6b714398d57bd90912489274c19fd6b3b329a94552c0941395d7f8a
+size 2399213024
--- a/Llama-3.1-Storm-8B.IQ3_M.gguf
+++ b/Llama-3.1-Storm-8B.IQ3_M.gguf
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:aaf61702918387de15e29f07fe9250c658d1bf243c6bd587dfe0320e8c586ce2
+size 3784824288
--- a/Llama-3.1-Storm-8B.IQ3_S.gguf
+++ b/Llama-3.1-Storm-8B.IQ3_S.gguf
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f3c3940754dd75272317cad4753bc2ccedabe0f287db372e3bc7d588b4b4a248
+size 3682325984
--- a/Llama-3.1-Storm-8B.IQ3_XS.gguf
+++ b/Llama-3.1-Storm-8B.IQ3_XS.gguf
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:95f13cbf51ab8c3e9bc1a82a755f3b191e5ea24039bf5b32f90f2f416d807a3a
+size 3518748128
--- a/Llama-3.1-Storm-8B.IQ3_XXS.gguf
+++ b/Llama-3.1-Storm-8B.IQ3_XXS.gguf
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a8b4b23bf4701afb6b948aa5b4279b672c2437561336924868b35cbd36636d40
+size 3274913248
--- a/Llama-3.1-Storm-8B.IQ4_NL.gguf
+++ b/Llama-3.1-Storm-8B.IQ4_NL.gguf
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1fc94ea8b170a3a83fc2ef8c8859c2127a48692040cf56b67dc1d4d25de0a227
+size 4677989856
--- a/Llama-3.1-Storm-8B.IQ4_XS.gguf
+++ b/Llama-3.1-Storm-8B.IQ4_XS.gguf
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:66215d18ef2967aec1a480c6a0f0edcf96c14400f79861d4893ce2dfe685b9ef
+size 4447663584
--- a/Llama-3.1-Storm-8B.Q2_K.gguf
+++ b/Llama-3.1-Storm-8B.Q2_K.gguf
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cd6a3342389f9158ad6082de76f58031ce502c928aadad5f92898ed010477063
+size 3179132384
--- a/Llama-3.1-Storm-8B.Q2_K_S.gguf
+++ b/Llama-3.1-Storm-8B.Q2_K_S.gguf
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9044b308ba19d16f1291ea7ed2239256e3b8277627087872a2df6584e5986742
+size 2988815840
--- a/Llama-3.1-Storm-8B.Q3_K.gguf
+++ b/Llama-3.1-Storm-8B.Q3_K.gguf
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5dfc5305336d398376be8e62316ad1414f0ea42113b69a917d7ab4b32e61bc4c
+size 4018918880
--- a/Llama-3.1-Storm-8B.Q3_K_L.gguf
+++ b/Llama-3.1-Storm-8B.Q3_K_L.gguf
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e4a7875e01b76ecfd8ecea8a0b50f920b47ba93401cbc46251b7a597abed9a1f
+size 4321957344
--- a/Llama-3.1-Storm-8B.Q3_K_S.gguf
+++ b/Llama-3.1-Storm-8B.Q3_K_S.gguf
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1971cc6ac4b86de651c97ed7141fd6af2fa7e82ba459231edfe5d8c640a49437
+size 3664500192
--- a/Llama-3.1-Storm-8B.Q4_K.gguf
+++ b/Llama-3.1-Storm-8B.Q4_K.gguf
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ed8128b5c163bbdcc243b20b94fef20a472f054d97e4e340112c0a1918f9f8d6
+size 4920735200
--- a/Llama-3.1-Storm-8B.Q4_K_S.gguf
+++ b/Llama-3.1-Storm-8B.Q4_K_S.gguf
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:23c83bb53d0efdd45aa2dcce0470fa2523b65c44619c8ef9f3ec8978ec33ac54
+size 4692669920
--- a/Llama-3.1-Storm-8B.Q5_K.gguf
+++ b/Llama-3.1-Storm-8B.Q5_K.gguf
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5d7445b70c756265217d4022de531ba106644f4d1e7e29330435f1cca0aa72fd
+size 5732988128
--- a/Llama-3.1-Storm-8B.Q5_K_S.gguf
+++ b/Llama-3.1-Storm-8B.Q5_K_S.gguf
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:16cd25530c7deb26280a010dc5bfe69c4399fc6667796d7baa13ed81958344a7
+size 5599294688
--- a/Llama-3.1-Storm-8B.Q6_K.gguf
+++ b/Llama-3.1-Storm-8B.Q6_K.gguf
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b73913f358e4901f36515a1eb79b2ddd3437b2a20d479af94400ee6daa6cc837
+size 6596007136
--- a/Llama-3.1-Storm-8B.Q8_0.gguf
+++ b/Llama-3.1-Storm-8B.Q8_0.gguf
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e7f56589124cd3c814d956fe1759d7b9fa0b677333d40dd9999f91f3d1557cc9
+size 8540771552
--- a/README.md
+++ b/README.md
@@ -0,0 +1,177 @@
+---
+base_model: akjindal53244/Llama-3.1-Storm-8B
+inference: false
+language:
+- en
+- de
+- fr
+- it
+- pt
+- hi
+- es
+- th
+library_name: gguf
+license: llama3.1
+pipeline_tag: text-generation
+quantized_by: legraphista
+tags:
+- llama-3.1
+- conversational
+- instruction following
+- reasoning
+- function calling
+- mergekit
+- finetuning
+- axolotl
+- quantized
+- GGUF
+- quantization
+- imat
+- imatrix
+- static
+- 16bit
+- 8bit
+- 6bit
+- 5bit
+- 4bit
+- 3bit
+- 2bit
+- 1bit
+---
+
+# Llama-3.1-Storm-8B-IMat-GGUF
+_Llama.cpp imatrix quantization of akjindal53244/Llama-3.1-Storm-8B_
+
+Original Model: [akjindal53244/Llama-3.1-Storm-8B](https://huggingface.co/akjindal53244/Llama-3.1-Storm-8B)    
+Original dtype: `BF16` (`bfloat16`)  
+Quantized by:  llama.cpp [b3606](https://github.com/ggerganov/llama.cpp/releases/tag/b3606)  
+IMatrix dataset: [here](https://gist.githubusercontent.com/bartowski1182/eb213dccb3571f863da82e99418f81e8/raw/b2869d80f5c16fd7082594248e80144677736635/calibration_datav3.txt)  
+
+- [Files](#files)
+    - [IMatrix](#imatrix)
+    - [Common Quants](#common-quants)
+    - [All Quants](#all-quants)
+- [Downloading using huggingface-cli](#downloading-using-huggingface-cli)
+- [Inference](#inference)
+    - [Simple chat template](#simple-chat-template)
+    - [Chat template with system prompt](#chat-template-with-system-prompt)
+    - [Llama.cpp](#llama-cpp)
+- [FAQ](#faq)
+    - [Why is the IMatrix not applied everywhere?](#why-is-the-imatrix-not-applied-everywhere)
+    - [How do I merge a split GGUF?](#how-do-i-merge-a-split-gguf)
+
+---
+
+## Files
+
+### IMatrix
+Status: ✅ Available  
+Link: [here](https://huggingface.co/legraphista/Llama-3.1-Storm-8B-IMat-GGUF/blob/main/imatrix.dat)
+
+### Common Quants
+| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |
+| -------- | ---------- | --------- | ------ | ------------ | -------- |
+| [Llama-3.1-Storm-8B.Q8_0.gguf](https://huggingface.co/legraphista/Llama-3.1-Storm-8B-IMat-GGUF/blob/main/Llama-3.1-Storm-8B.Q8_0.gguf) | Q8_0 | 8.54GB | ✅ Available | ⚪ Static | 📦 No
+| [Llama-3.1-Storm-8B.Q6_K.gguf](https://huggingface.co/legraphista/Llama-3.1-Storm-8B-IMat-GGUF/blob/main/Llama-3.1-Storm-8B.Q6_K.gguf) | Q6_K | 6.60GB | ✅ Available | ⚪ Static | 📦 No
+| [Llama-3.1-Storm-8B.Q4_K.gguf](https://huggingface.co/legraphista/Llama-3.1-Storm-8B-IMat-GGUF/blob/main/Llama-3.1-Storm-8B.Q4_K.gguf) | Q4_K | 4.92GB | ✅ Available | 🟢 IMatrix | 📦 No
+| [Llama-3.1-Storm-8B.Q3_K.gguf](https://huggingface.co/legraphista/Llama-3.1-Storm-8B-IMat-GGUF/blob/main/Llama-3.1-Storm-8B.Q3_K.gguf) | Q3_K | 4.02GB | ✅ Available | 🟢 IMatrix | 📦 No
+| [Llama-3.1-Storm-8B.Q2_K.gguf](https://huggingface.co/legraphista/Llama-3.1-Storm-8B-IMat-GGUF/blob/main/Llama-3.1-Storm-8B.Q2_K.gguf) | Q2_K | 3.18GB | ✅ Available | 🟢 IMatrix | 📦 No
+
+
+### All Quants
+| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |
+| -------- | ---------- | --------- | ------ | ------------ | -------- |
+| [Llama-3.1-Storm-8B.BF16.gguf](https://huggingface.co/legraphista/Llama-3.1-Storm-8B-IMat-GGUF/blob/main/Llama-3.1-Storm-8B.BF16.gguf) | BF16 | 16.07GB | ✅ Available | ⚪ Static | 📦 No
+| [Llama-3.1-Storm-8B.FP16.gguf](https://huggingface.co/legraphista/Llama-3.1-Storm-8B-IMat-GGUF/blob/main/Llama-3.1-Storm-8B.FP16.gguf) | F16 | 16.07GB | ✅ Available | ⚪ Static | 📦 No
+| [Llama-3.1-Storm-8B.Q8_0.gguf](https://huggingface.co/legraphista/Llama-3.1-Storm-8B-IMat-GGUF/blob/main/Llama-3.1-Storm-8B.Q8_0.gguf) | Q8_0 | 8.54GB | ✅ Available | ⚪ Static | 📦 No
+| [Llama-3.1-Storm-8B.Q6_K.gguf](https://huggingface.co/legraphista/Llama-3.1-Storm-8B-IMat-GGUF/blob/main/Llama-3.1-Storm-8B.Q6_K.gguf) | Q6_K | 6.60GB | ✅ Available | ⚪ Static | 📦 No
+| [Llama-3.1-Storm-8B.Q5_K.gguf](https://huggingface.co/legraphista/Llama-3.1-Storm-8B-IMat-GGUF/blob/main/Llama-3.1-Storm-8B.Q5_K.gguf) | Q5_K | 5.73GB | ✅ Available | ⚪ Static | 📦 No
+| [Llama-3.1-Storm-8B.Q5_K_S.gguf](https://huggingface.co/legraphista/Llama-3.1-Storm-8B-IMat-GGUF/blob/main/Llama-3.1-Storm-8B.Q5_K_S.gguf) | Q5_K_S | 5.60GB | ✅ Available | ⚪ Static | 📦 No
+| [Llama-3.1-Storm-8B.Q4_K.gguf](https://huggingface.co/legraphista/Llama-3.1-Storm-8B-IMat-GGUF/blob/main/Llama-3.1-Storm-8B.Q4_K.gguf) | Q4_K | 4.92GB | ✅ Available | 🟢 IMatrix | 📦 No
+| [Llama-3.1-Storm-8B.Q4_K_S.gguf](https://huggingface.co/legraphista/Llama-3.1-Storm-8B-IMat-GGUF/blob/main/Llama-3.1-Storm-8B.Q4_K_S.gguf) | Q4_K_S | 4.69GB | ✅ Available | 🟢 IMatrix | 📦 No
+| [Llama-3.1-Storm-8B.IQ4_NL.gguf](https://huggingface.co/legraphista/Llama-3.1-Storm-8B-IMat-GGUF/blob/main/Llama-3.1-Storm-8B.IQ4_NL.gguf) | IQ4_NL | 4.68GB | ✅ Available | 🟢 IMatrix | 📦 No
+| [Llama-3.1-Storm-8B.IQ4_XS.gguf](https://huggingface.co/legraphista/Llama-3.1-Storm-8B-IMat-GGUF/blob/main/Llama-3.1-Storm-8B.IQ4_XS.gguf) | IQ4_XS | 4.45GB | ✅ Available | 🟢 IMatrix | 📦 No
+| [Llama-3.1-Storm-8B.Q3_K.gguf](https://huggingface.co/legraphista/Llama-3.1-Storm-8B-IMat-GGUF/blob/main/Llama-3.1-Storm-8B.Q3_K.gguf) | Q3_K | 4.02GB | ✅ Available | 🟢 IMatrix | 📦 No
+| [Llama-3.1-Storm-8B.Q3_K_L.gguf](https://huggingface.co/legraphista/Llama-3.1-Storm-8B-IMat-GGUF/blob/main/Llama-3.1-Storm-8B.Q3_K_L.gguf) | Q3_K_L | 4.32GB | ✅ Available | 🟢 IMatrix | 📦 No
+| [Llama-3.1-Storm-8B.Q3_K_S.gguf](https://huggingface.co/legraphista/Llama-3.1-Storm-8B-IMat-GGUF/blob/main/Llama-3.1-Storm-8B.Q3_K_S.gguf) | Q3_K_S | 3.66GB | ✅ Available | 🟢 IMatrix | 📦 No
+| [Llama-3.1-Storm-8B.IQ3_M.gguf](https://huggingface.co/legraphista/Llama-3.1-Storm-8B-IMat-GGUF/blob/main/Llama-3.1-Storm-8B.IQ3_M.gguf) | IQ3_M | 3.78GB | ✅ Available | 🟢 IMatrix | 📦 No
+| [Llama-3.1-Storm-8B.IQ3_S.gguf](https://huggingface.co/legraphista/Llama-3.1-Storm-8B-IMat-GGUF/blob/main/Llama-3.1-Storm-8B.IQ3_S.gguf) | IQ3_S | 3.68GB | ✅ Available | 🟢 IMatrix | 📦 No
+| [Llama-3.1-Storm-8B.IQ3_XS.gguf](https://huggingface.co/legraphista/Llama-3.1-Storm-8B-IMat-GGUF/blob/main/Llama-3.1-Storm-8B.IQ3_XS.gguf) | IQ3_XS | 3.52GB | ✅ Available | 🟢 IMatrix | 📦 No
+| [Llama-3.1-Storm-8B.IQ3_XXS.gguf](https://huggingface.co/legraphista/Llama-3.1-Storm-8B-IMat-GGUF/blob/main/Llama-3.1-Storm-8B.IQ3_XXS.gguf) | IQ3_XXS | 3.27GB | ✅ Available | 🟢 IMatrix | 📦 No
+| [Llama-3.1-Storm-8B.Q2_K.gguf](https://huggingface.co/legraphista/Llama-3.1-Storm-8B-IMat-GGUF/blob/main/Llama-3.1-Storm-8B.Q2_K.gguf) | Q2_K | 3.18GB | ✅ Available | 🟢 IMatrix | 📦 No
+| [Llama-3.1-Storm-8B.Q2_K_S.gguf](https://huggingface.co/legraphista/Llama-3.1-Storm-8B-IMat-GGUF/blob/main/Llama-3.1-Storm-8B.Q2_K_S.gguf) | Q2_K_S | 2.99GB | ✅ Available | 🟢 IMatrix | 📦 No
+| [Llama-3.1-Storm-8B.IQ2_M.gguf](https://huggingface.co/legraphista/Llama-3.1-Storm-8B-IMat-GGUF/blob/main/Llama-3.1-Storm-8B.IQ2_M.gguf) | IQ2_M | 2.95GB | ✅ Available | 🟢 IMatrix | 📦 No
+| [Llama-3.1-Storm-8B.IQ2_S.gguf](https://huggingface.co/legraphista/Llama-3.1-Storm-8B-IMat-GGUF/blob/main/Llama-3.1-Storm-8B.IQ2_S.gguf) | IQ2_S | 2.76GB | ✅ Available | 🟢 IMatrix | 📦 No
+| [Llama-3.1-Storm-8B.IQ2_XS.gguf](https://huggingface.co/legraphista/Llama-3.1-Storm-8B-IMat-GGUF/blob/main/Llama-3.1-Storm-8B.IQ2_XS.gguf) | IQ2_XS | 2.61GB | ✅ Available | 🟢 IMatrix | 📦 No
+| [Llama-3.1-Storm-8B.IQ2_XXS.gguf](https://huggingface.co/legraphista/Llama-3.1-Storm-8B-IMat-GGUF/blob/main/Llama-3.1-Storm-8B.IQ2_XXS.gguf) | IQ2_XXS | 2.40GB | ✅ Available | 🟢 IMatrix | 📦 No
+| [Llama-3.1-Storm-8B.IQ1_M.gguf](https://huggingface.co/legraphista/Llama-3.1-Storm-8B-IMat-GGUF/blob/main/Llama-3.1-Storm-8B.IQ1_M.gguf) | IQ1_M | 2.16GB | ✅ Available | 🟢 IMatrix | 📦 No
+| [Llama-3.1-Storm-8B.IQ1_S.gguf](https://huggingface.co/legraphista/Llama-3.1-Storm-8B-IMat-GGUF/blob/main/Llama-3.1-Storm-8B.IQ1_S.gguf) | IQ1_S | 2.02GB | ✅ Available | 🟢 IMatrix | 📦 No
+
+
+## Downloading using huggingface-cli
+If you do not have hugginface-cli installed:
+```
+pip install -U "huggingface_hub[cli]"
+```
+Download the specific file you want:
+```
+huggingface-cli download legraphista/Llama-3.1-Storm-8B-IMat-GGUF --include "Llama-3.1-Storm-8B.Q8_0.gguf" --local-dir ./
+```
+If the model file is big, it has been split into multiple files. In order to download them all to a local folder, run:
+```
+huggingface-cli download legraphista/Llama-3.1-Storm-8B-IMat-GGUF --include "Llama-3.1-Storm-8B.Q8_0/*" --local-dir ./
+# see FAQ for merging GGUF's
+```
+
+---
+
+## Inference
+
+### Simple chat template
+```
+<|begin_of_text|><|start_header_id|>user<|end_header_id|>
+
+{user_prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
+
+{assistant_response}<|eot_id|><|start_header_id|>user<|end_header_id|>
+
+{next_user_prompt}<|eot_id|>
+```
+
+### Chat template with system prompt
+```
+<|begin_of_text|><|start_header_id|>system<|end_header_id|>
+
+{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>
+
+{user_prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
+
+{assistant_response}<|eot_id|><|start_header_id|>user<|end_header_id|>
+
+{next_user_prompt}<|eot_id|>
+```
+
+### Llama.cpp
+```
+llama.cpp/main -m Llama-3.1-Storm-8B.Q8_0.gguf --color -i -p "prompt here (according to the chat template)"
+```
+
+---
+
+## FAQ
+
+### 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). 
+
+### 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: `Llama-3.1-Storm-8B.Q8_0`)
+3. Run `gguf-split --merge Llama-3.1-Storm-8B.Q8_0/Llama-3.1-Storm-8B.Q8_0-00001-of-XXXXX.gguf Llama-3.1-Storm-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)!
--- a/imatrix.dat
+++ b/imatrix.dat
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6ab9d4934063268a46b3abc7bf324a97e84a6586f0ec2325762e840eecc7d22e
+size 4988178
--- a/imatrix.dataset
+++ b/imatrix.dataset
--- a/imatrix.log
+++ b/imatrix.log
@@ -0,0 +1,149 @@
+llama_model_loader: loaded meta data with 30 key-value pairs and 292 tensors from Llama-3.1-Storm-8B-IMat-GGUF/Llama-3.1-Storm-8B.Q8_0.gguf.hardlink.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.type str              = model
+llama_model_loader: - kv   2:                               general.name str              = Llama 3.1 Storm 8B
+llama_model_loader: - kv   3:                       general.organization str              = Akjindal53244
+llama_model_loader: - kv   4:                           general.basename str              = Llama-3.1-Storm
+llama_model_loader: - kv   5:                         general.size_label str              = 8B
+llama_model_loader: - kv   6:                            general.license str              = llama3.1
+llama_model_loader: - kv   7:                               general.tags arr[str,9]       = ["llama-3.1", "conversational", "inst...
+llama_model_loader: - kv   8:                          general.languages arr[str,8]       = ["en", "de", "fr", "it", "pt", "hi", ...
+llama_model_loader: - kv   9:                          llama.block_count u32              = 32
+llama_model_loader: - kv  10:                       llama.context_length u32              = 131072
+llama_model_loader: - kv  11:                     llama.embedding_length u32              = 4096
+llama_model_loader: - kv  12:                  llama.feed_forward_length u32              = 14336
+llama_model_loader: - kv  13:                 llama.attention.head_count u32              = 32
+llama_model_loader: - kv  14:              llama.attention.head_count_kv u32              = 8
+llama_model_loader: - kv  15:                       llama.rope.freq_base f32              = 500000.000000
+llama_model_loader: - kv  16:     llama.attention.layer_norm_rms_epsilon f32              = 0.000010
+llama_model_loader: - kv  17:                          general.file_type u32              = 7
+llama_model_loader: - kv  18:                           llama.vocab_size u32              = 128256
+llama_model_loader: - kv  19:                 llama.rope.dimension_count u32              = 128
+llama_model_loader: - kv  20:                       tokenizer.ggml.model str              = gpt2
+llama_model_loader: - kv  21:                         tokenizer.ggml.pre str              = llama-bpe
+llama_model_loader: - kv  22:                      tokenizer.ggml.tokens arr[str,128256]  = ["!", "\"", "#", "$", "%", "&", "'", ...
+llama_model_loader: - kv  23:                  tokenizer.ggml.token_type arr[i32,128256]  = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
+llama_model_loader: - kv  24:                      tokenizer.ggml.merges arr[str,280147]  = ["Ġ Ġ", "Ġ ĠĠĠ", "ĠĠ ĠĠ", "...
+llama_model_loader: - kv  25:                tokenizer.ggml.bos_token_id u32              = 128000
+llama_model_loader: - kv  26:                tokenizer.ggml.eos_token_id u32              = 128009
+llama_model_loader: - kv  27:            tokenizer.ggml.padding_token_id u32              = 128001
+llama_model_loader: - kv  28:                    tokenizer.chat_template str              = {% if not add_generation_prompt is de...
+llama_model_loader: - kv  29:               general.quantization_version u32              = 2
+llama_model_loader: - type  f32:   66 tensors
+llama_model_loader: - type q8_0:  226 tensors
+llm_load_vocab: special tokens cache size = 256
+llm_load_vocab: token to piece cache size = 0.7999 MB
+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          = 128256
+llm_load_print_meta: n_merges         = 280147
+llm_load_print_meta: vocab_only       = 0
+llm_load_print_meta: n_ctx_train      = 131072
+llm_load_print_meta: n_embd           = 4096
+llm_load_print_meta: n_layer          = 32
+llm_load_print_meta: n_head           = 32
+llm_load_print_meta: n_head_kv        = 8
+llm_load_print_meta: n_rot            = 128
+llm_load_print_meta: n_swa            = 0
+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_ctx_orig_yarn  = 131072
+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      = Q8_0
+llm_load_print_meta: model params     = 8.03 B
+llm_load_print_meta: model size       = 7.95 GiB (8.50 BPW) 
+llm_load_print_meta: general.name     = Llama 3.1 Storm 8B
+llm_load_print_meta: BOS token        = 128000 '<|begin_of_text|>'
+llm_load_print_meta: EOS token        = 128009 '<|eot_id|>'
+llm_load_print_meta: PAD token        = 128001 '<|end_of_text|>'
+llm_load_print_meta: LF token         = 128 'Ä'
+llm_load_print_meta: EOT token        = 128009 '<|eot_id|>'
+llm_load_print_meta: max token length = 256
+ggml_cuda_init: GGML_CUDA_FORCE_MMQ:    no
+ggml_cuda_init: GGML_CUDA_FORCE_CUBLAS: no
+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 =    0.27 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 =   532.31 MiB
+llm_load_tensors:      CUDA0 buffer size =  7605.34 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 42.015 ms
+compute_imatrix: computing over 125 chunks with batch_size 512
+compute_imatrix: 0.73 seconds per pass - ETA 1.50 minutes
+[1]6.0124,[2]4.6572,[3]4.1911,[4]5.2156,[5]5.4155,[6]4.5837,[7]4.8698,[8]5.4021,[9]5.5789,
+save_imatrix: stored collected data after 10 chunks in Llama-3.1-Storm-8B-IMat-GGUF/imatrix.dat
+[10]5.0688,[11]5.5106,[12]6.0390,[13]6.5314,[14]6.9329,[15]7.2193,[16]7.4800,[17]7.6691,[18]7.3980,[19]7.0706,
+save_imatrix: stored collected data after 20 chunks in Llama-3.1-Storm-8B-IMat-GGUF/imatrix.dat
+[20]7.0733,[21]7.1945,[22]7.1445,[23]7.4636,[24]7.4749,[25]7.8272,[26]7.8457,[27]7.8559,[28]8.0767,[29]8.0749,
+save_imatrix: stored collected data after 30 chunks in Llama-3.1-Storm-8B-IMat-GGUF/imatrix.dat
+[30]8.0408,[31]7.6115,[32]7.2208,[33]7.0286,[34]6.8628,[35]6.9179,[36]6.9728,[37]6.9072,[38]6.9875,[39]7.1551,
+save_imatrix: stored collected data after 40 chunks in Llama-3.1-Storm-8B-IMat-GGUF/imatrix.dat
+[40]7.2409,[41]7.2735,[42]7.3354,[43]7.5347,[44]7.6209,[45]7.8162,[46]7.6910,[47]7.8154,[48]7.8981,[49]7.9928,
+save_imatrix: stored collected data after 50 chunks in Llama-3.1-Storm-8B-IMat-GGUF/imatrix.dat
+[50]7.8693,[51]7.9958,[52]8.1297,[53]8.2087,[54]8.2692,[55]8.3443,[56]8.3829,[57]8.4346,[58]8.4464,[59]8.4611,
+save_imatrix: stored collected data after 60 chunks in Llama-3.1-Storm-8B-IMat-GGUF/imatrix.dat
+[60]8.4101,[61]8.3922,[62]8.4383,[63]8.4764,[64]8.3935,[65]8.3585,[66]8.3590,[67]8.3361,[68]8.3253,[69]8.3123,
+save_imatrix: stored collected data after 70 chunks in Llama-3.1-Storm-8B-IMat-GGUF/imatrix.dat
+[70]8.3081,[71]8.2980,[72]8.2915,[73]8.2524,[74]8.1948,[75]8.1858,[76]8.1859,[77]8.1419,[78]8.1326,[79]8.1636,
+save_imatrix: stored collected data after 80 chunks in Llama-3.1-Storm-8B-IMat-GGUF/imatrix.dat
+[80]8.1888,[81]8.1743,[82]8.1627,[83]8.1903,[84]8.0800,[85]8.0787,[86]8.0850,[87]8.0957,[88]8.1212,[89]8.1230,
+save_imatrix: stored collected data after 90 chunks in Llama-3.1-Storm-8B-IMat-GGUF/imatrix.dat
+[90]8.0615,[91]7.9831,[92]7.9131,[93]7.8558,[94]7.7917,[95]7.7356,[96]7.6925,[97]7.7021,[98]7.7456,[99]7.8389,
+save_imatrix: stored collected data after 100 chunks in Llama-3.1-Storm-8B-IMat-GGUF/imatrix.dat
+[100]7.9166,[101]7.9744,[102]8.1057,[103]8.1368,[104]8.1736,[105]8.0973,[106]8.1032,[107]8.0522,[108]7.9998,[109]7.9328,
+save_imatrix: stored collected data after 110 chunks in Llama-3.1-Storm-8B-IMat-GGUF/imatrix.dat
+[110]7.9776,[111]8.0367,[112]8.0485,[113]8.0399,[114]8.0761,[115]8.1101,[116]8.1191,[117]8.1420,[118]8.1765,[119]8.1172,
+save_imatrix: stored collected data after 120 chunks in Llama-3.1-Storm-8B-IMat-GGUF/imatrix.dat
+[120]8.1317,[121]8.1403,[122]8.1682,[123]8.2098,[124]8.2470,[125]8.2647,
+save_imatrix: stored collected data after 125 chunks in Llama-3.1-Storm-8B-IMat-GGUF/imatrix.dat
+
+llama_print_timings:        load time =    2202.93 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 =   71666.08 ms / 64000 tokens (    1.12 ms per token,   893.03 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 =   73977.79 ms / 64001 tokens
+
+Final estimate: PPL = 8.2647 +/- 0.12491