Hugging Face's logo

tensorblock
/
generative-qa-model-GGUF

Transformers
GGUF
TensorBlock
GGUF
conversational
Model card Files Community
morriszms commited on
Commit
0b4f553
·
verified ·
1 Parent(s): 5a3947d

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +20 -12
README.md CHANGED
@@ -24,8 +24,16 @@ This repo contains GGUF format model files for [blapuma/generative-qa-model](htt
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
  ## Prompt template
28
 
 
29
  ```
30
  <s><|user|>
31
  {prompt}<|end|>
@@ -36,18 +44,18 @@ The files were quantized using machines provided by [TensorBlock](https://tensor
36
 
37
  | Filename | Quant type | File Size | Description |
38
  | -------- | ---------- | --------- | ----------- |
39
- | [generative-qa-model-Q2_K.gguf](https://huggingface.co/tensorblock/generative-qa-model-GGUF/tree/main/generative-qa-model-Q2_K.gguf) | Q2_K | 1.319 GB | smallest, significant quality loss - not recommended for most purposes |
40
- | [generative-qa-model-Q3_K_S.gguf](https://huggingface.co/tensorblock/generative-qa-model-GGUF/tree/main/generative-qa-model-Q3_K_S.gguf) | Q3_K_S | 1.566 GB | very small, high quality loss |
41
- | [generative-qa-model-Q3_K_M.gguf](https://huggingface.co/tensorblock/generative-qa-model-GGUF/tree/main/generative-qa-model-Q3_K_M.gguf) | Q3_K_M | 1.821 GB | very small, high quality loss |
42
- | [generative-qa-model-Q3_K_L.gguf](https://huggingface.co/tensorblock/generative-qa-model-GGUF/tree/main/generative-qa-model-Q3_K_L.gguf) | Q3_K_L | 1.944 GB | small, substantial quality loss |
43
- | [generative-qa-model-Q4_0.gguf](https://huggingface.co/tensorblock/generative-qa-model-GGUF/tree/main/generative-qa-model-Q4_0.gguf) | Q4_0 | 2.027 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
44
- | [generative-qa-model-Q4_K_S.gguf](https://huggingface.co/tensorblock/generative-qa-model-GGUF/tree/main/generative-qa-model-Q4_K_S.gguf) | Q4_K_S | 2.038 GB | small, greater quality loss |
45
- | [generative-qa-model-Q4_K_M.gguf](https://huggingface.co/tensorblock/generative-qa-model-GGUF/tree/main/generative-qa-model-Q4_K_M.gguf) | Q4_K_M | 2.229 GB | medium, balanced quality - recommended |
46
- | [generative-qa-model-Q5_0.gguf](https://huggingface.co/tensorblock/generative-qa-model-GGUF/tree/main/generative-qa-model-Q5_0.gguf) | Q5_0 | 2.460 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
47
- | [generative-qa-model-Q5_K_S.gguf](https://huggingface.co/tensorblock/generative-qa-model-GGUF/tree/main/generative-qa-model-Q5_K_S.gguf) | Q5_K_S | 2.460 GB | large, low quality loss - recommended |
48
- | [generative-qa-model-Q5_K_M.gguf](https://huggingface.co/tensorblock/generative-qa-model-GGUF/tree/main/generative-qa-model-Q5_K_M.gguf) | Q5_K_M | 2.622 GB | large, very low quality loss - recommended |
49
- | [generative-qa-model-Q6_K.gguf](https://huggingface.co/tensorblock/generative-qa-model-GGUF/tree/main/generative-qa-model-Q6_K.gguf) | Q6_K | 2.920 GB | very large, extremely low quality loss |
50
- | [generative-qa-model-Q8_0.gguf](https://huggingface.co/tensorblock/generative-qa-model-GGUF/tree/main/generative-qa-model-Q8_0.gguf) | Q8_0 | 3.782 GB | very large, extremely low quality loss - not recommended |
51
 
52
 
53
  ## Downloading instruction
 
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
+
28
+ <div style="text-align: left; margin: 20px 0;">
29
+ <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;">
30
+ Run them on the TensorBlock client using your local machine ↗
31
+ </a>
32
+ </div>
33
+
34
  ## Prompt template
35
 
36
+
37
  ```
38
  <s><|user|>
39
  {prompt}<|end|>
 
44
 
45
  | Filename | Quant type | File Size | Description |
46
  | -------- | ---------- | --------- | ----------- |
47
+ | [generative-qa-model-Q2_K.gguf](https://huggingface.co/tensorblock/generative-qa-model-GGUF/blob/main/generative-qa-model-Q2_K.gguf) | Q2_K | 1.319 GB | smallest, significant quality loss - not recommended for most purposes |
48
+ | [generative-qa-model-Q3_K_S.gguf](https://huggingface.co/tensorblock/generative-qa-model-GGUF/blob/main/generative-qa-model-Q3_K_S.gguf) | Q3_K_S | 1.566 GB | very small, high quality loss |
49
+ | [generative-qa-model-Q3_K_M.gguf](https://huggingface.co/tensorblock/generative-qa-model-GGUF/blob/main/generative-qa-model-Q3_K_M.gguf) | Q3_K_M | 1.821 GB | very small, high quality loss |
50
+ | [generative-qa-model-Q3_K_L.gguf](https://huggingface.co/tensorblock/generative-qa-model-GGUF/blob/main/generative-qa-model-Q3_K_L.gguf) | Q3_K_L | 1.944 GB | small, substantial quality loss |
51
+ | [generative-qa-model-Q4_0.gguf](https://huggingface.co/tensorblock/generative-qa-model-GGUF/blob/main/generative-qa-model-Q4_0.gguf) | Q4_0 | 2.027 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
52
+ | [generative-qa-model-Q4_K_S.gguf](https://huggingface.co/tensorblock/generative-qa-model-GGUF/blob/main/generative-qa-model-Q4_K_S.gguf) | Q4_K_S | 2.038 GB | small, greater quality loss |
53
+ | [generative-qa-model-Q4_K_M.gguf](https://huggingface.co/tensorblock/generative-qa-model-GGUF/blob/main/generative-qa-model-Q4_K_M.gguf) | Q4_K_M | 2.229 GB | medium, balanced quality - recommended |
54
+ | [generative-qa-model-Q5_0.gguf](https://huggingface.co/tensorblock/generative-qa-model-GGUF/blob/main/generative-qa-model-Q5_0.gguf) | Q5_0 | 2.460 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
55
+ | [generative-qa-model-Q5_K_S.gguf](https://huggingface.co/tensorblock/generative-qa-model-GGUF/blob/main/generative-qa-model-Q5_K_S.gguf) | Q5_K_S | 2.460 GB | large, low quality loss - recommended |
56
+ | [generative-qa-model-Q5_K_M.gguf](https://huggingface.co/tensorblock/generative-qa-model-GGUF/blob/main/generative-qa-model-Q5_K_M.gguf) | Q5_K_M | 2.622 GB | large, very low quality loss - recommended |
57
+ | [generative-qa-model-Q6_K.gguf](https://huggingface.co/tensorblock/generative-qa-model-GGUF/blob/main/generative-qa-model-Q6_K.gguf) | Q6_K | 2.920 GB | very large, extremely low quality loss |
58
+ | [generative-qa-model-Q8_0.gguf](https://huggingface.co/tensorblock/generative-qa-model-GGUF/blob/main/generative-qa-model-Q8_0.gguf) | Q8_0 | 3.782 GB | very large, extremely low quality loss - not recommended |
59
 
60
 
61
  ## Downloading instruction