bartowski/OLMo-2-1124-13B-Instruct-GGUF
1
0
Fork 0
Code Issues Pull Requests Actions Projects Releases Wiki Activity

初始化项目，由ModelHub XC社区提供模型

Browse Source 
Model: bartowski/OLMo-2-1124-13B-Instruct-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-07-18 12:12:06 +08:00
commit 4260af731a
29 changed files with 311 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

61
.gitattributes vendored Normal file
View File

@@ -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
OLMo-2-1124-13B-Instruct-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
OLMo-2-1124-13B-Instruct-Q6_K_L.gguf filter=lfs diff=lfs merge=lfs -text
OLMo-2-1124-13B-Instruct-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
OLMo-2-1124-13B-Instruct-Q5_K_L.gguf filter=lfs diff=lfs merge=lfs -text
OLMo-2-1124-13B-Instruct-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
OLMo-2-1124-13B-Instruct-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
OLMo-2-1124-13B-Instruct-Q4_K_L.gguf filter=lfs diff=lfs merge=lfs -text
OLMo-2-1124-13B-Instruct-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
OLMo-2-1124-13B-Instruct-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
OLMo-2-1124-13B-Instruct-Q4_0_8_8.gguf filter=lfs diff=lfs merge=lfs -text
OLMo-2-1124-13B-Instruct-Q4_0_4_8.gguf filter=lfs diff=lfs merge=lfs -text
OLMo-2-1124-13B-Instruct-Q4_0_4_4.gguf filter=lfs diff=lfs merge=lfs -text
OLMo-2-1124-13B-Instruct-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
OLMo-2-1124-13B-Instruct-IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
OLMo-2-1124-13B-Instruct-Q3_K_XL.gguf filter=lfs diff=lfs merge=lfs -text
OLMo-2-1124-13B-Instruct-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
OLMo-2-1124-13B-Instruct-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
OLMo-2-1124-13B-Instruct-IQ3_M.gguf filter=lfs diff=lfs merge=lfs -text
OLMo-2-1124-13B-Instruct-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
OLMo-2-1124-13B-Instruct-IQ3_XS.gguf filter=lfs diff=lfs merge=lfs -text
OLMo-2-1124-13B-Instruct-Q2_K_L.gguf filter=lfs diff=lfs merge=lfs -text
OLMo-2-1124-13B-Instruct-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
OLMo-2-1124-13B-Instruct-IQ2_M.gguf filter=lfs diff=lfs merge=lfs -text
OLMo-2-1124-13B-Instruct-IQ2_S.gguf filter=lfs diff=lfs merge=lfs -text
OLMo-2-1124-13B-Instruct-f16.gguf filter=lfs diff=lfs merge=lfs -text
OLMo-2-1124-13B-Instruct.imatrix filter=lfs diff=lfs merge=lfs -text

3
OLMo-2-1124-13B-Instruct-IQ2_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:0d9f8851764f3406034042abfaaccce8846a8401706658cac482259cb363b2cc
size 4913013568

3
OLMo-2-1124-13B-Instruct-IQ2_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:0f6f8fa92e64ae2464e0153c2bf260688270c9ab4df59dab90e5dd10e19df160
size 4593115968

3
OLMo-2-1124-13B-Instruct-IQ3_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:07cc036aeca7fba0a086a9962936ceca153c7df8a591e441da5d9cc467f5e2c2
size 6426424128

3
OLMo-2-1124-13B-Instruct-IQ3_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:bc9f56f48c11f16ea4f23a4adc91ea4d7f6db7a76e68e8d4acf681f9aa4c880a
size 5803524928

3
OLMo-2-1124-13B-Instruct-IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:c51d35d9f4bff4b5503fae626751412907d593404192b10e6a04bbf7ada2002b
size 7441679168

3
OLMo-2-1124-13B-Instruct-Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:10cf054a6e9f0255e88e3a190e7ee0339003ace0cbf6fe9bbe211241bbbe64f1
size 5260641088

3
OLMo-2-1124-13B-Instruct-Q2_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:1bcf366b0b9515c9e1a4abbc65084e1c8587188f66d53349458a29b280ad0bdf
size 5762401088

3
OLMo-2-1124-13B-Instruct-Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:3adf6ea13a0b2e9a7b83f3f7320429608d523679aa71eace7478509de5526edd
size 7371473728

3
OLMo-2-1124-13B-Instruct-Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:5e4ad2ffaf7d482d0bcf545a82c0dfa381259bd095f435cf156d5f17270bd526
size 6779683648

3
OLMo-2-1124-13B-Instruct-Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:54033440b53fe51e5be0964ac4f7708a5191e13517b06aa70839a2c6628d718b
size 6100894528

3
OLMo-2-1124-13B-Instruct-Q3_K_XL.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:57a8326d9f1824a8e5d14a8a095e801291f36359e53664aed0d552b742f73baf
size 7821050688

3
OLMo-2-1124-13B-Instruct-Q4_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:226abfadeac97c3977d3c2dc0a4f7177b280d2ee562bd908b41cc1d2fae3e237
size 7876346688

3
OLMo-2-1124-13B-Instruct-Q4_0_4_4.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:1f288a6fbff8dedad65555c4017392f9148f73823a1ec5cf1dad55eb75479386
size 7854228288

3
OLMo-2-1124-13B-Instruct-Q4_0_4_8.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:db8652b65c6a402dd29df5851f103e6a849314006b6c4332d854a04144e60112
size 7854228288

3
OLMo-2-1124-13B-Instruct-Q4_0_8_8.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b5fa3cf7493c503790343e301b3b98bf250df352339ed1c77c40c2e2972066b5
size 7854228288

3
OLMo-2-1124-13B-Instruct-Q4_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:8c5d4e11914489d64aa4fae1f85cd121221da455b473130eeba47c9def220cb0
size 8735687488

3
OLMo-2-1124-13B-Instruct-Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:aadb9c6933fdf2d8c67627d9e9b84c74d852a456725e8cc8fd4556cc4528db1f
size 8354349888

3
OLMo-2-1124-13B-Instruct-Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:76466fab3de620d0f7d08c138f9888dd256c900599ac947ee320a643e48896aa
size 7911572288

3
OLMo-2-1124-13B-Instruct-Q5_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:02e4eb1cf6a4b84aa605e28772a81fd5963cdae10b5103331e6f47c25a2c9a49
size 10079175488

3
OLMo-2-1124-13B-Instruct-Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b9957667f9a3e7eddbc1e44fb0d5bc934a6ce3922e4e83d469606b5a35ac088c
size 9762063168

3
OLMo-2-1124-13B-Instruct-Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:ab96d1eb23b2c63b234dcb90933f7c17e96aa0568dca97e1dad9ee056d125bef
size 9504424768

3
OLMo-2-1124-13B-Instruct-Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:6c57a1a2df1b73e8de67b7f2b05eb87089d9d46584ffe14fbc705e2ed83fff23
size 11257758528

3
OLMo-2-1124-13B-Instruct-Q6_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:572ea409de7fec516047916d76d585e49066c56df28090e49f05f0602f1f54e3
size 11506631488

3
OLMo-2-1124-13B-Instruct-Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:12317c6bfaa987bd5b2a4e40d8972d8cc9865d2a7a97b4824e12add27f4346e5
size 14579450688

3
OLMo-2-1124-13B-Instruct-f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:6b5ae50d2183afea767d16d1e4f5372b2d1b91e1e79cd72a7e32a03045e69690
size 27437613600

3
OLMo-2-1124-13B-Instruct.imatrix Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:18be752c668c1db2abbb2ac70afa43cb33ff6e31322d65b9793e87c76578644d
size 7136338

171
README.md Normal file
View File

@@ -0,0 +1,171 @@
---
quantized_by: bartowski
pipeline_tag: text-generation
datasets:
- allenai/RLVR-GSM-MATH-IF-Mixed-Constraints
base_model: allenai/OLMo-2-1124-13B-Instruct
license: apache-2.0
language:
- en
---
## Llamacpp imatrix Quantizations of OLMo-2-1124-13B-Instruct
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b4191">b4191</a> for quantization.
Original model: https://huggingface.co/allenai/OLMo-2-1124-13B-Instruct
All quants made using imatrix option with dataset from [here](https://gist.github.com/bartowski1182/eb213dccb3571f863da82e99418f81e8)
These were made by fixing the tokenizer.json pre_processor, using the one from the base model.
## Prompt format
```
<|endoftext|><|system|>
{system_prompt}
<|user|>
{prompt}
<|assistant|>
```
## Download a file (not the whole branch) from below:
| Filename | Quant type | File Size | Split | Description |
| -------- | ---------- | --------- | ----- | ----------- |
| [OLMo-2-1124-13B-Instruct-f16.gguf](https://huggingface.co/bartowski/OLMo-2-1124-13B-Instruct-GGUF/blob/main/OLMo-2-1124-13B-Instruct-f16.gguf) | f16 | 27.44GB | false | Full F16 weights. |
| [OLMo-2-1124-13B-Instruct-Q8_0.gguf](https://huggingface.co/bartowski/OLMo-2-1124-13B-Instruct-GGUF/blob/main/OLMo-2-1124-13B-Instruct-Q8_0.gguf) | Q8_0 | 14.58GB | false | Extremely high quality, generally unneeded but max available quant. |
| [OLMo-2-1124-13B-Instruct-Q6_K_L.gguf](https://huggingface.co/bartowski/OLMo-2-1124-13B-Instruct-GGUF/blob/main/OLMo-2-1124-13B-Instruct-Q6_K_L.gguf) | Q6_K_L | 11.51GB | false | Uses Q8_0 for embed and output weights. Very high quality, near perfect, *recommended*. |
| [OLMo-2-1124-13B-Instruct-Q6_K.gguf](https://huggingface.co/bartowski/OLMo-2-1124-13B-Instruct-GGUF/blob/main/OLMo-2-1124-13B-Instruct-Q6_K.gguf) | Q6_K | 11.26GB | false | Very high quality, near perfect, *recommended*. |
| [OLMo-2-1124-13B-Instruct-Q5_K_L.gguf](https://huggingface.co/bartowski/OLMo-2-1124-13B-Instruct-GGUF/blob/main/OLMo-2-1124-13B-Instruct-Q5_K_L.gguf) | Q5_K_L | 10.08GB | false | Uses Q8_0 for embed and output weights. High quality, *recommended*. |
| [OLMo-2-1124-13B-Instruct-Q5_K_M.gguf](https://huggingface.co/bartowski/OLMo-2-1124-13B-Instruct-GGUF/blob/main/OLMo-2-1124-13B-Instruct-Q5_K_M.gguf) | Q5_K_M | 9.76GB | false | High quality, *recommended*. |
| [OLMo-2-1124-13B-Instruct-Q5_K_S.gguf](https://huggingface.co/bartowski/OLMo-2-1124-13B-Instruct-GGUF/blob/main/OLMo-2-1124-13B-Instruct-Q5_K_S.gguf) | Q5_K_S | 9.50GB | false | High quality, *recommended*. |
| [OLMo-2-1124-13B-Instruct-Q4_K_L.gguf](https://huggingface.co/bartowski/OLMo-2-1124-13B-Instruct-GGUF/blob/main/OLMo-2-1124-13B-Instruct-Q4_K_L.gguf) | Q4_K_L | 8.74GB | false | Uses Q8_0 for embed and output weights. Good quality, *recommended*. |
| [OLMo-2-1124-13B-Instruct-Q4_K_M.gguf](https://huggingface.co/bartowski/OLMo-2-1124-13B-Instruct-GGUF/blob/main/OLMo-2-1124-13B-Instruct-Q4_K_M.gguf) | Q4_K_M | 8.35GB | false | Good quality, default size for most use cases, *recommended*. |
| [OLMo-2-1124-13B-Instruct-Q4_K_S.gguf](https://huggingface.co/bartowski/OLMo-2-1124-13B-Instruct-GGUF/blob/main/OLMo-2-1124-13B-Instruct-Q4_K_S.gguf) | Q4_K_S | 7.91GB | false | Slightly lower quality with more space savings, *recommended*. |
| [OLMo-2-1124-13B-Instruct-Q4_0.gguf](https://huggingface.co/bartowski/OLMo-2-1124-13B-Instruct-GGUF/blob/main/OLMo-2-1124-13B-Instruct-Q4_0.gguf) | Q4_0 | 7.88GB | false | Legacy format, generally not worth using over similarly sized formats |
| [OLMo-2-1124-13B-Instruct-Q4_0_8_8.gguf](https://huggingface.co/bartowski/OLMo-2-1124-13B-Instruct-GGUF/blob/main/OLMo-2-1124-13B-Instruct-Q4_0_8_8.gguf) | Q4_0_8_8 | 7.85GB | false | Optimized for ARM and AVX inference. Requires 'sve' support for ARM (see details below). *Don't use on Mac*. |
| [OLMo-2-1124-13B-Instruct-Q4_0_4_8.gguf](https://huggingface.co/bartowski/OLMo-2-1124-13B-Instruct-GGUF/blob/main/OLMo-2-1124-13B-Instruct-Q4_0_4_8.gguf) | Q4_0_4_8 | 7.85GB | false | Optimized for ARM inference. Requires 'i8mm' support (see details below). *Don't use on Mac*. |
| [OLMo-2-1124-13B-Instruct-Q4_0_4_4.gguf](https://huggingface.co/bartowski/OLMo-2-1124-13B-Instruct-GGUF/blob/main/OLMo-2-1124-13B-Instruct-Q4_0_4_4.gguf) | Q4_0_4_4 | 7.85GB | false | Optimized for ARM inference. Should work well on all ARM chips, not for use with GPUs. *Don't use on Mac*. |
| [OLMo-2-1124-13B-Instruct-Q3_K_XL.gguf](https://huggingface.co/bartowski/OLMo-2-1124-13B-Instruct-GGUF/blob/main/OLMo-2-1124-13B-Instruct-Q3_K_XL.gguf) | Q3_K_XL | 7.82GB | false | Uses Q8_0 for embed and output weights. Lower quality but usable, good for low RAM availability. |
| [OLMo-2-1124-13B-Instruct-IQ4_XS.gguf](https://huggingface.co/bartowski/OLMo-2-1124-13B-Instruct-GGUF/blob/main/OLMo-2-1124-13B-Instruct-IQ4_XS.gguf) | IQ4_XS | 7.44GB | false | Decent quality, smaller than Q4_K_S with similar performance, *recommended*. |
| [OLMo-2-1124-13B-Instruct-Q3_K_L.gguf](https://huggingface.co/bartowski/OLMo-2-1124-13B-Instruct-GGUF/blob/main/OLMo-2-1124-13B-Instruct-Q3_K_L.gguf) | Q3_K_L | 7.37GB | false | Lower quality but usable, good for low RAM availability. |
| [OLMo-2-1124-13B-Instruct-Q3_K_M.gguf](https://huggingface.co/bartowski/OLMo-2-1124-13B-Instruct-GGUF/blob/main/OLMo-2-1124-13B-Instruct-Q3_K_M.gguf) | Q3_K_M | 6.78GB | false | Low quality. |
| [OLMo-2-1124-13B-Instruct-IQ3_M.gguf](https://huggingface.co/bartowski/OLMo-2-1124-13B-Instruct-GGUF/blob/main/OLMo-2-1124-13B-Instruct-IQ3_M.gguf) | IQ3_M | 6.43GB | false | Medium-low quality, new method with decent performance comparable to Q3_K_M. |
| [OLMo-2-1124-13B-Instruct-Q3_K_S.gguf](https://huggingface.co/bartowski/OLMo-2-1124-13B-Instruct-GGUF/blob/main/OLMo-2-1124-13B-Instruct-Q3_K_S.gguf) | Q3_K_S | 6.10GB | false | Low quality, not recommended. |
| [OLMo-2-1124-13B-Instruct-IQ3_XS.gguf](https://huggingface.co/bartowski/OLMo-2-1124-13B-Instruct-GGUF/blob/main/OLMo-2-1124-13B-Instruct-IQ3_XS.gguf) | IQ3_XS | 5.80GB | false | Lower quality, new method with decent performance, slightly better than Q3_K_S. |
| [OLMo-2-1124-13B-Instruct-Q2_K_L.gguf](https://huggingface.co/bartowski/OLMo-2-1124-13B-Instruct-GGUF/blob/main/OLMo-2-1124-13B-Instruct-Q2_K_L.gguf) | Q2_K_L | 5.76GB | false | Uses Q8_0 for embed and output weights. Very low quality but surprisingly usable. |
| [OLMo-2-1124-13B-Instruct-Q2_K.gguf](https://huggingface.co/bartowski/OLMo-2-1124-13B-Instruct-GGUF/blob/main/OLMo-2-1124-13B-Instruct-Q2_K.gguf) | Q2_K | 5.26GB | false | Very low quality but surprisingly usable. |
| [OLMo-2-1124-13B-Instruct-IQ2_M.gguf](https://huggingface.co/bartowski/OLMo-2-1124-13B-Instruct-GGUF/blob/main/OLMo-2-1124-13B-Instruct-IQ2_M.gguf) | IQ2_M | 4.91GB | false | Relatively low quality, uses SOTA techniques to be surprisingly usable. |
| [OLMo-2-1124-13B-Instruct-IQ2_S.gguf](https://huggingface.co/bartowski/OLMo-2-1124-13B-Instruct-GGUF/blob/main/OLMo-2-1124-13B-Instruct-IQ2_S.gguf) | IQ2_S | 4.59GB | false | Low quality, uses SOTA techniques to be usable. |
## Embed/output weights
Some of these quants (Q3_K_XL, Q4_K_L etc) are the standard quantization method with the embeddings and output weights quantized to Q8_0 instead of what they would normally default to.
## Downloading using huggingface-cli
<details>
<summary>Click to view download instructions</summary>
First, make sure you have hugginface-cli installed:
```
pip install -U "huggingface_hub[cli]"
```
Then, you can target the specific file you want:
```
huggingface-cli download bartowski/OLMo-2-1124-13B-Instruct-GGUF --include "OLMo-2-1124-13B-Instruct-Q4_K_M.gguf" --local-dir ./
```
If the model is bigger than 50GB, it will have been split into multiple files. In order to download them all to a local folder, run:
```
huggingface-cli download bartowski/OLMo-2-1124-13B-Instruct-GGUF --include "OLMo-2-1124-13B-Instruct-Q8_0/*" --local-dir ./
```
You can either specify a new local-dir (OLMo-2-1124-13B-Instruct-Q8_0) or download them all in place (./)
</details>
## Q4_0_X_X information
<details>
<summary>Click to view Q4_0_X_X information</summary>
These are *NOT* for Metal (Apple) or GPU (nvidia/AMD/intel) offloading, only ARM chips (and certain AVX2/AVX512 CPUs).
If you're using an ARM chip, the Q4_0_X_X quants will have a substantial speedup. Check out Q4_0_4_4 speed comparisons [on the original pull request](https://github.com/ggerganov/llama.cpp/pull/5780#pullrequestreview-21657544660)
To check which one would work best for your ARM chip, you can check [AArch64 SoC features](https://gpages.juszkiewicz.com.pl/arm-socs-table/arm-socs.html) (thanks EloyOn!).
If you're using a CPU that supports AVX2 or AVX512 (typically server CPUs and AMD's latest Zen5 CPUs) and are not offloading to a GPU, the Q4_0_8_8 may offer a nice speed as well:
<details>
<summary>Click to view benchmarks on an AVX2 system (EPYC7702)</summary>
| model | size | params | backend | threads | test | t/s | % (vs Q4_0) |
| ------------------------------ | ---------: | ---------: | ---------- | ------: | ------------: | -------------------: |-------------: |
| qwen2 3B Q4_0 | 1.70 GiB | 3.09 B | CPU | 64 | pp512 | 204.03 ± 1.03 | 100% |
| qwen2 3B Q4_0 | 1.70 GiB | 3.09 B | CPU | 64 | pp1024 | 282.92 ± 0.19 | 100% |
| qwen2 3B Q4_0 | 1.70 GiB | 3.09 B | CPU | 64 | pp2048 | 259.49 ± 0.44 | 100% |
| qwen2 3B Q4_0 | 1.70 GiB | 3.09 B | CPU | 64 | tg128 | 39.12 ± 0.27 | 100% |
| qwen2 3B Q4_0 | 1.70 GiB | 3.09 B | CPU | 64 | tg256 | 39.31 ± 0.69 | 100% |
| qwen2 3B Q4_0 | 1.70 GiB | 3.09 B | CPU | 64 | tg512 | 40.52 ± 0.03 | 100% |
| qwen2 3B Q4_K_M | 1.79 GiB | 3.09 B | CPU | 64 | pp512 | 301.02 ± 1.74 | 147% |
| qwen2 3B Q4_K_M | 1.79 GiB | 3.09 B | CPU | 64 | pp1024 | 287.23 ± 0.20 | 101% |
| qwen2 3B Q4_K_M | 1.79 GiB | 3.09 B | CPU | 64 | pp2048 | 262.77 ± 1.81 | 101% |
| qwen2 3B Q4_K_M | 1.79 GiB | 3.09 B | CPU | 64 | tg128 | 18.80 ± 0.99 | 48% |
| qwen2 3B Q4_K_M | 1.79 GiB | 3.09 B | CPU | 64 | tg256 | 24.46 ± 3.04 | 83% |
| qwen2 3B Q4_K_M | 1.79 GiB | 3.09 B | CPU | 64 | tg512 | 36.32 ± 3.59 | 90% |
| qwen2 3B Q4_0_8_8 | 1.69 GiB | 3.09 B | CPU | 64 | pp512 | 271.71 ± 3.53 | 133% |
| qwen2 3B Q4_0_8_8 | 1.69 GiB | 3.09 B | CPU | 64 | pp1024 | 279.86 ± 45.63 | 100% |
| qwen2 3B Q4_0_8_8 | 1.69 GiB | 3.09 B | CPU | 64 | pp2048 | 320.77 ± 5.00 | 124% |
| qwen2 3B Q4_0_8_8 | 1.69 GiB | 3.09 B | CPU | 64 | tg128 | 43.51 ± 0.05 | 111% |
| qwen2 3B Q4_0_8_8 | 1.69 GiB | 3.09 B | CPU | 64 | tg256 | 43.35 ± 0.09 | 110% |
| qwen2 3B Q4_0_8_8 | 1.69 GiB | 3.09 B | CPU | 64 | tg512 | 42.60 ± 0.31 | 105% |
Q4_0_8_8 offers a nice bump to prompt processing and a small bump to text generation
</details>
</details>
## Which file should I choose?
<details>
<summary>Click here for details</summary>
A great write up with charts showing various performances is provided by Artefact2 [here](https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9)
The first thing to figure out is how big a model you can run. To do this, you'll need to figure out how much RAM and/or VRAM you have.
If you want your model running as FAST as possible, you'll want to fit the whole thing on your GPU's VRAM. Aim for a quant with a file size 1-2GB smaller than your GPU's total VRAM.
If you want the absolute maximum quality, add both your system RAM and your GPU's VRAM together, then similarly grab a quant with a file size 1-2GB Smaller than that total.
Next, you'll need to decide if you want to use an 'I-quant' or a 'K-quant'.
If you don't want to think too much, grab one of the K-quants. These are in format 'QX_K_X', like Q5_K_M.
If you want to get more into the weeds, you can check out this extremely useful feature chart:
[llama.cpp feature matrix](https://github.com/ggerganov/llama.cpp/wiki/Feature-matrix)
But basically, if you're aiming for below Q4, and you're running cuBLAS (Nvidia) or rocBLAS (AMD), you should look towards the I-quants. These are in format IQX_X, like IQ3_M. These are newer and offer better performance for their size.
These I-quants can also be used on CPU and Apple Metal, but will be slower than their K-quant equivalent, so speed vs performance is a tradeoff you'll have to decide.
The I-quants are *not* compatible with Vulcan, which is also AMD, so if you have an AMD card double check if you're using the rocBLAS build or the Vulcan build. At the time of writing this, LM Studio has a preview with ROCm support, and other inference engines have specific builds for ROCm.
</details>
## Credits
Thank you kalomaze and Dampf for assistance in creating the imatrix calibration dataset.
Thank you ZeroWw for the inspiration to experiment with embed/output.
Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski

1
configuration.json Normal file
View File

@@ -0,0 +1 @@
{"framework": "pytorch", "task": "text-generation", "allow_remote": true}