mradermacher/Emollama-chat-7b-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: mradermacher/Emollama-chat-7b-GGUF
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-11-02 14:34:16 +08:00
commit 1ce0755c3f
14 changed files with 147 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

47
.gitattributes vendored Normal file
View File

@@ -0,0 +1,47 @@
*.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
Emollama-chat-7b.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
Emollama-chat-7b.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Emollama-chat-7b.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Emollama-chat-7b.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Emollama-chat-7b.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
Emollama-chat-7b.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
Emollama-chat-7b.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Emollama-chat-7b.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
Emollama-chat-7b.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
Emollama-chat-7b.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
Emollama-chat-7b.f16.gguf filter=lfs diff=lfs merge=lfs -text
Emollama-chat-7b.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text

3
Emollama-chat-7b.IQ4_XS.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f7dc5aeee1a5446a2592725e82b4879f3407cad9af5411b57d901dd5804fb74f
size 3647517152

3
Emollama-chat-7b.Q2_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:6991cfd91a157bbd52f989fa7709b30f5b7eb7ebcaeea2a5817d8b99ea332f3d
size 2532864480

3
Emollama-chat-7b.Q3_K_L.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:104858eac9c19b4798ea7960cf9423b2382bf44d64041eb461fc53b10083fa77
size 3597111776

3
Emollama-chat-7b.Q3_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:22068cd9a9aeeed6232de9710b49e7c7855e3854fe121840a26a134b5dfcdd30
size 3298005472

3
Emollama-chat-7b.Q3_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:a34b7e1b4c7d5d5ad7659ac78f01fce42b81e87044ada9ae4791ecc9a3ab34fd
size 2948305376

3
Emollama-chat-7b.Q4_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:c85eb78e8c1f579b6414aab9175a4dd88f7b7740ef6d1efe19b2b550f015448e
size 4081005024

3
Emollama-chat-7b.Q4_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:d51d47e94cab48fcef0e6d1640eaea04f4302322b669cf9fe2ebd247ec495368
size 3856740832

3
Emollama-chat-7b.Q5_K_M.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f292c64eaf40f6fff135fde4e4cdae7fced612f86c46fea3f35333fa93c21ad2
size 4783157728

3
Emollama-chat-7b.Q5_K_S.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:2b14b36265cd3818e4141e0fecd5ef417766704b850f439c9bac34763af08124
size 4651692512

3
Emollama-chat-7b.Q6_K.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:5280f105e1e665728ac7396abcfe6169b61a585a9d57cc7c8a62934a81effe41
size 5529194976

3
Emollama-chat-7b.Q8_0.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:76a4ed9b188c16bb99857ae30e8d527cddfc64a9878fd6e1ddda258bbe89da60
size 7161090528

3
Emollama-chat-7b.f16.gguf Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f40fad9a749cf6f47d1eadf510d19aa88c68e2c0c0ef2ee55ecc2905212bf1e9
size 13478105568

64
README.md Normal file
View File

@@ -0,0 +1,64 @@
---
base_model: lzw1008/Emollama-chat-7b
language:
- en
library_name: transformers
license: mit
quantized_by: mradermacher
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: -->
static quants of https://huggingface.co/lzw1008/Emollama-chat-7b
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Emollama-chat-7b-i1-GGUF
## Usage
If you are unsure how to use GGUF files, refer to one of [TheBloke's
READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
more details, including on how to concatenate multi-part files.
## Provided Quants
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
| Link | Type | Size/GB | Notes |
|:-----|:-----|--------:|:------|
| [GGUF](https://huggingface.co/mradermacher/Emollama-chat-7b-GGUF/resolve/main/Emollama-chat-7b.Q2_K.gguf) | Q2_K | 2.6 | |
| [GGUF](https://huggingface.co/mradermacher/Emollama-chat-7b-GGUF/resolve/main/Emollama-chat-7b.Q3_K_S.gguf) | Q3_K_S | 3.0 | |
| [GGUF](https://huggingface.co/mradermacher/Emollama-chat-7b-GGUF/resolve/main/Emollama-chat-7b.Q3_K_M.gguf) | Q3_K_M | 3.4 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/Emollama-chat-7b-GGUF/resolve/main/Emollama-chat-7b.Q3_K_L.gguf) | Q3_K_L | 3.7 | |
| [GGUF](https://huggingface.co/mradermacher/Emollama-chat-7b-GGUF/resolve/main/Emollama-chat-7b.IQ4_XS.gguf) | IQ4_XS | 3.7 | |
| [GGUF](https://huggingface.co/mradermacher/Emollama-chat-7b-GGUF/resolve/main/Emollama-chat-7b.Q4_K_S.gguf) | Q4_K_S | 4.0 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Emollama-chat-7b-GGUF/resolve/main/Emollama-chat-7b.Q4_K_M.gguf) | Q4_K_M | 4.2 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Emollama-chat-7b-GGUF/resolve/main/Emollama-chat-7b.Q5_K_S.gguf) | Q5_K_S | 4.8 | |
| [GGUF](https://huggingface.co/mradermacher/Emollama-chat-7b-GGUF/resolve/main/Emollama-chat-7b.Q5_K_M.gguf) | Q5_K_M | 4.9 | |
| [GGUF](https://huggingface.co/mradermacher/Emollama-chat-7b-GGUF/resolve/main/Emollama-chat-7b.Q6_K.gguf) | Q6_K | 5.6 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/Emollama-chat-7b-GGUF/resolve/main/Emollama-chat-7b.Q8_0.gguf) | Q8_0 | 7.3 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/Emollama-chat-7b-GGUF/resolve/main/Emollama-chat-7b.f16.gguf) | f16 | 13.6 | 16 bpw, overkill |
Here is a handy graph by ikawrakow comparing some lower-quality quant
types (lower is better):
![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)
And here are Artefact2's thoughts on the matter:
https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
## FAQ / Model Request
See https://huggingface.co/mradermacher/model_requests for some answers to
questions you might have and/or if you want some other model quantized.
## Thanks
I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
me use its servers and providing upgrades to my workstation to enable
this work in my free time.
<!-- end -->