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  1. README.md +26 -22
  2. SmolLM-135M-Q2_K.gguf +2 -2
  3. SmolLM-135M-Q3_K_L.gguf +2 -2
  4. SmolLM-135M-Q3_K_M.gguf +2 -2
  5. SmolLM-135M-Q3_K_S.gguf +2 -2
  6. SmolLM-135M-Q4_0.gguf +2 -2
  7. SmolLM-135M-Q4_K_M.gguf +2 -2
  8. SmolLM-135M-Q4_K_S.gguf +2 -2
  9. SmolLM-135M-Q5_0.gguf +2 -2
  10. SmolLM-135M-Q5_K_M.gguf +2 -2
  11. SmolLM-135M-Q5_K_S.gguf +2 -2
  12. SmolLM-135M-Q6_K.gguf +2 -2
  13. SmolLM-135M-Q8_0.gguf +2 -2
README.md CHANGED
@@ -1,14 +1,20 @@
1
  ---
2
- library_name: transformers
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  license: apache-2.0
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- language:
5
- - en
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- datasets:
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- - HuggingFaceTB/smollm-corpus
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- base_model: HuggingFaceTB/SmolLM-135M
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  tags:
 
 
 
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  - TensorBlock
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  - GGUF
 
 
 
 
 
 
 
 
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  ---
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  <div style="width: auto; margin-left: auto; margin-right: auto">
@@ -22,13 +28,12 @@ tags:
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  </div>
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  </div>
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- ## HuggingFaceTB/SmolLM-135M - GGUF
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- This repo contains GGUF format model files for [HuggingFaceTB/SmolLM-135M](https://huggingface.co/HuggingFaceTB/SmolLM-135M).
28
 
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  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).
30
 
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-
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  <div style="text-align: left; margin: 20px 0;">
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  <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;">
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  Run them on the TensorBlock client using your local machine ↗
@@ -37,7 +42,6 @@ The files were quantized using machines provided by [TensorBlock](https://tensor
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  ## Prompt template
39
 
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-
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  ```
42
 
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  ```
@@ -46,18 +50,18 @@ The files were quantized using machines provided by [TensorBlock](https://tensor
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  | Filename | Quant type | File Size | Description |
48
  | -------- | ---------- | --------- | ----------- |
49
- | [SmolLM-135M-Q2_K.gguf](https://huggingface.co/tensorblock/SmolLM-135M-GGUF/blob/main/SmolLM-135M-Q2_K.gguf) | Q2_K | 0.082 GB | smallest, significant quality loss - not recommended for most purposes |
50
- | [SmolLM-135M-Q3_K_S.gguf](https://huggingface.co/tensorblock/SmolLM-135M-GGUF/blob/main/SmolLM-135M-Q3_K_S.gguf) | Q3_K_S | 0.082 GB | very small, high quality loss |
51
- | [SmolLM-135M-Q3_K_M.gguf](https://huggingface.co/tensorblock/SmolLM-135M-GGUF/blob/main/SmolLM-135M-Q3_K_M.gguf) | Q3_K_M | 0.087 GB | very small, high quality loss |
52
- | [SmolLM-135M-Q3_K_L.gguf](https://huggingface.co/tensorblock/SmolLM-135M-GGUF/blob/main/SmolLM-135M-Q3_K_L.gguf) | Q3_K_L | 0.091 GB | small, substantial quality loss |
53
- | [SmolLM-135M-Q4_0.gguf](https://huggingface.co/tensorblock/SmolLM-135M-GGUF/blob/main/SmolLM-135M-Q4_0.gguf) | Q4_0 | 0.085 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
54
- | [SmolLM-135M-Q4_K_S.gguf](https://huggingface.co/tensorblock/SmolLM-135M-GGUF/blob/main/SmolLM-135M-Q4_K_S.gguf) | Q4_K_S | 0.095 GB | small, greater quality loss |
55
- | [SmolLM-135M-Q4_K_M.gguf](https://huggingface.co/tensorblock/SmolLM-135M-GGUF/blob/main/SmolLM-135M-Q4_K_M.gguf) | Q4_K_M | 0.098 GB | medium, balanced quality - recommended |
56
- | [SmolLM-135M-Q5_0.gguf](https://huggingface.co/tensorblock/SmolLM-135M-GGUF/blob/main/SmolLM-135M-Q5_0.gguf) | Q5_0 | 0.098 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
57
- | [SmolLM-135M-Q5_K_S.gguf](https://huggingface.co/tensorblock/SmolLM-135M-GGUF/blob/main/SmolLM-135M-Q5_K_S.gguf) | Q5_K_S | 0.102 GB | large, low quality loss - recommended |
58
- | [SmolLM-135M-Q5_K_M.gguf](https://huggingface.co/tensorblock/SmolLM-135M-GGUF/blob/main/SmolLM-135M-Q5_K_M.gguf) | Q5_K_M | 0.104 GB | large, very low quality loss - recommended |
59
- | [SmolLM-135M-Q6_K.gguf](https://huggingface.co/tensorblock/SmolLM-135M-GGUF/blob/main/SmolLM-135M-Q6_K.gguf) | Q6_K | 0.129 GB | very large, extremely low quality loss |
60
- | [SmolLM-135M-Q8_0.gguf](https://huggingface.co/tensorblock/SmolLM-135M-GGUF/blob/main/SmolLM-135M-Q8_0.gguf) | Q8_0 | 0.135 GB | very large, extremely low quality loss - not recommended |
61
 
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  ## Downloading instruction
 
1
  ---
 
2
  license: apache-2.0
3
+ base_model: unsloth/SmolLM-135M
 
 
 
 
4
  tags:
5
+ - alignment-handbook
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+ - trl
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+ - unsloth
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  - TensorBlock
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  - GGUF
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+ datasets:
11
+ - Magpie-Align/Magpie-Pro-300K-Filtered
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+ - bigcode/self-oss-instruct-sc2-exec-filter-50k
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+ - teknium/OpenHermes-2.5
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+ - HuggingFaceTB/everyday-conversations-llama3.1-2k
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+ library_name: transformers
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+ language:
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+ - en
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  ---
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  <div style="width: auto; margin-left: auto; margin-right: auto">
 
28
  </div>
29
  </div>
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+ ## unsloth/SmolLM-135M - GGUF
32
 
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+ This repo contains GGUF format model files for [unsloth/SmolLM-135M](https://huggingface.co/unsloth/SmolLM-135M).
34
 
35
  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).
36
 
 
37
  <div style="text-align: left; margin: 20px 0;">
38
  <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;">
39
  Run them on the TensorBlock client using your local machine ↗
 
42
 
43
  ## Prompt template
44
 
 
45
  ```
46
 
47
  ```
 
50
 
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  | Filename | Quant type | File Size | Description |
52
  | -------- | ---------- | --------- | ----------- |
53
+ | [SmolLM-135M-Q2_K.gguf](https://huggingface.co/tensorblock/SmolLM-135M-GGUF/blob/main/SmolLM-135M-Q2_K.gguf) | Q2_K | 0.088 GB | smallest, significant quality loss - not recommended for most purposes |
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+ | [SmolLM-135M-Q3_K_S.gguf](https://huggingface.co/tensorblock/SmolLM-135M-GGUF/blob/main/SmolLM-135M-Q3_K_S.gguf) | Q3_K_S | 0.088 GB | very small, high quality loss |
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+ | [SmolLM-135M-Q3_K_M.gguf](https://huggingface.co/tensorblock/SmolLM-135M-GGUF/blob/main/SmolLM-135M-Q3_K_M.gguf) | Q3_K_M | 0.094 GB | very small, high quality loss |
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+ | [SmolLM-135M-Q3_K_L.gguf](https://huggingface.co/tensorblock/SmolLM-135M-GGUF/blob/main/SmolLM-135M-Q3_K_L.gguf) | Q3_K_L | 0.098 GB | small, substantial quality loss |
57
+ | [SmolLM-135M-Q4_0.gguf](https://huggingface.co/tensorblock/SmolLM-135M-GGUF/blob/main/SmolLM-135M-Q4_0.gguf) | Q4_0 | 0.092 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
58
+ | [SmolLM-135M-Q4_K_S.gguf](https://huggingface.co/tensorblock/SmolLM-135M-GGUF/blob/main/SmolLM-135M-Q4_K_S.gguf) | Q4_K_S | 0.102 GB | small, greater quality loss |
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+ | [SmolLM-135M-Q4_K_M.gguf](https://huggingface.co/tensorblock/SmolLM-135M-GGUF/blob/main/SmolLM-135M-Q4_K_M.gguf) | Q4_K_M | 0.105 GB | medium, balanced quality - recommended |
60
+ | [SmolLM-135M-Q5_0.gguf](https://huggingface.co/tensorblock/SmolLM-135M-GGUF/blob/main/SmolLM-135M-Q5_0.gguf) | Q5_0 | 0.105 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
61
+ | [SmolLM-135M-Q5_K_S.gguf](https://huggingface.co/tensorblock/SmolLM-135M-GGUF/blob/main/SmolLM-135M-Q5_K_S.gguf) | Q5_K_S | 0.110 GB | large, low quality loss - recommended |
62
+ | [SmolLM-135M-Q5_K_M.gguf](https://huggingface.co/tensorblock/SmolLM-135M-GGUF/blob/main/SmolLM-135M-Q5_K_M.gguf) | Q5_K_M | 0.112 GB | large, very low quality loss - recommended |
63
+ | [SmolLM-135M-Q6_K.gguf](https://huggingface.co/tensorblock/SmolLM-135M-GGUF/blob/main/SmolLM-135M-Q6_K.gguf) | Q6_K | 0.138 GB | very large, extremely low quality loss |
64
+ | [SmolLM-135M-Q8_0.gguf](https://huggingface.co/tensorblock/SmolLM-135M-GGUF/blob/main/SmolLM-135M-Q8_0.gguf) | Q8_0 | 0.145 GB | very large, extremely low quality loss - not recommended |
65
 
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  ## Downloading instruction
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