morriszms commited on
Commit
b3b6d91
·
verified ·
1 Parent(s): 73bd885

Upload folder using huggingface_hub

Browse files
.gitattributes CHANGED
@@ -33,3 +33,15 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
 
 
 
 
 
 
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ MedMistral-instruct-Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
37
+ MedMistral-instruct-Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
38
+ MedMistral-instruct-Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
39
+ MedMistral-instruct-Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
40
+ MedMistral-instruct-Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
41
+ MedMistral-instruct-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
42
+ MedMistral-instruct-Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
43
+ MedMistral-instruct-Q5_0.gguf filter=lfs diff=lfs merge=lfs -text
44
+ MedMistral-instruct-Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
45
+ MedMistral-instruct-Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
46
+ MedMistral-instruct-Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
47
+ MedMistral-instruct-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
MedMistral-instruct-Q2_K.gguf ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:18d61379499f448fdb3f82f50193f504ac5ee185d46f8557febebe38b6e2729b
3
+ size 2719242304
MedMistral-instruct-Q3_K_L.gguf ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3e8e57d8b54de73b7d6b0a286df9227ec5609723b8bfe075217c8530edf63b11
3
+ size 3822024768
MedMistral-instruct-Q3_K_M.gguf ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:af48369dda3346018d11b8b2b3891f43255f164053525835696ed1dc3f7e41ab
3
+ size 3518986304
MedMistral-instruct-Q3_K_S.gguf ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1ff0b4072aa5271f55cec486dc2687187b648294748d2be73b91e48aae68abe9
3
+ size 3164567616
MedMistral-instruct-Q4_0.gguf ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:79cc709c7b5b3db0fe152bb129541332d493cb626f5707f2c883f05561e3f962
3
+ size 4108916800
MedMistral-instruct-Q4_K_M.gguf ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:61a01461c65f1107ec30dd648861650eb7e9c05f7184ffe5752184ab7e8c766e
3
+ size 4368439360
MedMistral-instruct-Q4_K_S.gguf ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a0362a364daf029ef6edf169487b94bfc5d4f0aed550080a673d9ff72e38fb19
3
+ size 4140374080
MedMistral-instruct-Q5_0.gguf ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:69c6fd90a45cf9f4ca498fafc5da137ed5b773fb140c65e7454196afb23f3f91
3
+ size 4997716032
MedMistral-instruct-Q5_K_M.gguf ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c9015535a28a9ae8911418ccc7fd111a3318042f7602211277c08814b6b053ba
3
+ size 5131409472
MedMistral-instruct-Q5_K_S.gguf ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:86913c0dc467bd16cd276b1a3077f758f35a12aba9eea8d11168e8d4aafce845
3
+ size 4997716032
MedMistral-instruct-Q6_K.gguf ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6ecace682d758643c1c9f31da94efd6306de105abd74b183343dc833d25c335e
3
+ size 5942065216
MedMistral-instruct-Q8_0.gguf ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:27c6895dc6917e459e6640401b54f1faf1e6ef327eb4c48adda6c4207767357a
3
+ size 7695857728
README.md ADDED
@@ -0,0 +1,77 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ license: apache-2.0
4
+ base_model: ik28/MedMistral-instruct
5
+ tags:
6
+ - TensorBlock
7
+ - GGUF
8
+ ---
9
+
10
+ <div style="width: auto; margin-left: auto; margin-right: auto">
11
+ <img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;">
12
+ </div>
13
+ <div style="display: flex; justify-content: space-between; width: 100%;">
14
+ <div style="display: flex; flex-direction: column; align-items: flex-start;">
15
+ <p style="margin-top: 0.5em; margin-bottom: 0em;">
16
+ Feedback and support: TensorBlock's <a href="https://x.com/tensorblock_aoi">Twitter/X</a>, <a href="https://t.me/TensorBlock">Telegram Group</a> and <a href="https://x.com/tensorblock_aoi">Discord server</a>
17
+ </p>
18
+ </div>
19
+ </div>
20
+
21
+ ## ik28/MedMistral-instruct - GGUF
22
+
23
+ This repo contains GGUF format model files for [ik28/MedMistral-instruct](https://huggingface.co/ik28/MedMistral-instruct).
24
+
25
+ The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4011](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d).
26
+
27
+ <div style="text-align: left; margin: 20px 0;">
28
+ <a href="https://tensorblock.co/waitlist/client" style="display: inline-block; padding: 10px 20px; background-color: #007bff; color: white; text-decoration: none; border-radius: 5px; font-weight: bold;">
29
+ Run them on the TensorBlock client using your local machine ↗
30
+ </a>
31
+ </div>
32
+
33
+ ## Prompt template
34
+
35
+ ```
36
+
37
+ ```
38
+
39
+ ## Model file specification
40
+
41
+ | Filename | Quant type | File Size | Description |
42
+ | -------- | ---------- | --------- | ----------- |
43
+ | [MedMistral-instruct-Q2_K.gguf](https://huggingface.co/tensorblock/MedMistral-instruct-GGUF/blob/main/MedMistral-instruct-Q2_K.gguf) | Q2_K | 2.532 GB | smallest, significant quality loss - not recommended for most purposes |
44
+ | [MedMistral-instruct-Q3_K_S.gguf](https://huggingface.co/tensorblock/MedMistral-instruct-GGUF/blob/main/MedMistral-instruct-Q3_K_S.gguf) | Q3_K_S | 2.947 GB | very small, high quality loss |
45
+ | [MedMistral-instruct-Q3_K_M.gguf](https://huggingface.co/tensorblock/MedMistral-instruct-GGUF/blob/main/MedMistral-instruct-Q3_K_M.gguf) | Q3_K_M | 3.277 GB | very small, high quality loss |
46
+ | [MedMistral-instruct-Q3_K_L.gguf](https://huggingface.co/tensorblock/MedMistral-instruct-GGUF/blob/main/MedMistral-instruct-Q3_K_L.gguf) | Q3_K_L | 3.560 GB | small, substantial quality loss |
47
+ | [MedMistral-instruct-Q4_0.gguf](https://huggingface.co/tensorblock/MedMistral-instruct-GGUF/blob/main/MedMistral-instruct-Q4_0.gguf) | Q4_0 | 3.827 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
48
+ | [MedMistral-instruct-Q4_K_S.gguf](https://huggingface.co/tensorblock/MedMistral-instruct-GGUF/blob/main/MedMistral-instruct-Q4_K_S.gguf) | Q4_K_S | 3.856 GB | small, greater quality loss |
49
+ | [MedMistral-instruct-Q4_K_M.gguf](https://huggingface.co/tensorblock/MedMistral-instruct-GGUF/blob/main/MedMistral-instruct-Q4_K_M.gguf) | Q4_K_M | 4.068 GB | medium, balanced quality - recommended |
50
+ | [MedMistral-instruct-Q5_0.gguf](https://huggingface.co/tensorblock/MedMistral-instruct-GGUF/blob/main/MedMistral-instruct-Q5_0.gguf) | Q5_0 | 4.654 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
51
+ | [MedMistral-instruct-Q5_K_S.gguf](https://huggingface.co/tensorblock/MedMistral-instruct-GGUF/blob/main/MedMistral-instruct-Q5_K_S.gguf) | Q5_K_S | 4.654 GB | large, low quality loss - recommended |
52
+ | [MedMistral-instruct-Q5_K_M.gguf](https://huggingface.co/tensorblock/MedMistral-instruct-GGUF/blob/main/MedMistral-instruct-Q5_K_M.gguf) | Q5_K_M | 4.779 GB | large, very low quality loss - recommended |
53
+ | [MedMistral-instruct-Q6_K.gguf](https://huggingface.co/tensorblock/MedMistral-instruct-GGUF/blob/main/MedMistral-instruct-Q6_K.gguf) | Q6_K | 5.534 GB | very large, extremely low quality loss |
54
+ | [MedMistral-instruct-Q8_0.gguf](https://huggingface.co/tensorblock/MedMistral-instruct-GGUF/blob/main/MedMistral-instruct-Q8_0.gguf) | Q8_0 | 7.167 GB | very large, extremely low quality loss - not recommended |
55
+
56
+
57
+ ## Downloading instruction
58
+
59
+ ### Command line
60
+
61
+ Firstly, install Huggingface Client
62
+
63
+ ```shell
64
+ pip install -U "huggingface_hub[cli]"
65
+ ```
66
+
67
+ Then, downoad the individual model file the a local directory
68
+
69
+ ```shell
70
+ huggingface-cli download tensorblock/MedMistral-instruct-GGUF --include "MedMistral-instruct-Q2_K.gguf" --local-dir MY_LOCAL_DIR
71
+ ```
72
+
73
+ If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try:
74
+
75
+ ```shell
76
+ huggingface-cli download tensorblock/MedMistral-instruct-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
77
+ ```