Instructions to use Notacape/EdgeDecoder-JAX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Notacape/EdgeDecoder-JAX with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf Notacape/EdgeDecoder-JAX:F16 # Run inference directly in the terminal: llama cli -hf Notacape/EdgeDecoder-JAX:F16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Notacape/EdgeDecoder-JAX:F16 # Run inference directly in the terminal: llama cli -hf Notacape/EdgeDecoder-JAX:F16
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf Notacape/EdgeDecoder-JAX:F16 # Run inference directly in the terminal: ./llama-cli -hf Notacape/EdgeDecoder-JAX:F16
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf Notacape/EdgeDecoder-JAX:F16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf Notacape/EdgeDecoder-JAX:F16
Use Docker
docker model run hf.co/Notacape/EdgeDecoder-JAX:F16
- LM Studio
- Jan
- vLLM
How to use Notacape/EdgeDecoder-JAX with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Notacape/EdgeDecoder-JAX" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Notacape/EdgeDecoder-JAX", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Notacape/EdgeDecoder-JAX:F16
- Ollama
How to use Notacape/EdgeDecoder-JAX with Ollama:
ollama run hf.co/Notacape/EdgeDecoder-JAX:F16
- Unsloth Desktop
- Docker Model Runner
How to use Notacape/EdgeDecoder-JAX with Docker Model Runner:
docker model run hf.co/Notacape/EdgeDecoder-JAX:F16
- Lemonade
How to use Notacape/EdgeDecoder-JAX with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Notacape/EdgeDecoder-JAX:F16
Run and chat with the model
lemonade run user.EdgeDecoder-JAX-F16
List all available models
lemonade list
- Atomic Chat
MicroGPT-2 SFT: safetensors (Qwen3 layout) + GGUF f16 and q8_0
Browse files- .gitattributes +2 -0
- chat_template.jinja +1 -0
- config.json +28 -0
- generation_config.json +5 -0
- microgpt2-f16.gguf +3 -0
- microgpt2-q8_0.gguf +3 -0
- model.safetensors +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +36 -0
.gitattributes
CHANGED
|
@@ -33,3 +33,5 @@ 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 |
+
microgpt2-f16.gguf filter=lfs diff=lfs merge=lfs -text
|
| 37 |
+
microgpt2-q8_0.gguf filter=lfs diff=lfs merge=lfs -text
|
chat_template.jinja
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{{- bos_token -}}{%- set offset = 0 -%}{%- if messages and messages[0]['role'] == 'system' -%}{%- if messages|length > 1 and messages[1]['role'] == 'user' -%}{{- '<|im_start|>user\n' + messages[0]['content'] + '\n\n' + messages[1]['content'] + '<|im_end|>' -}}{%- set offset = 2 -%}{%- else -%}{{- '<|im_start|>user\n' + messages[0]['content'] + '<|im_end|>' -}}{%- set offset = 1 -%}{%- endif -%}{%- endif -%}{%- for message in messages -%}{%- if loop.index0 >= offset -%}{{- '<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' -}}{%- endif -%}{%- endfor -%}{%- if add_generation_prompt -%}{{- '<|im_start|>assistant\n' -}}{%- endif -%}
|
config.json
ADDED
|
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3ForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"model_type": "qwen3",
|
| 6 |
+
"vocab_size": 49152,
|
| 7 |
+
"hidden_size": 1280,
|
| 8 |
+
"intermediate_size": 3328,
|
| 9 |
+
"num_hidden_layers": 25,
|
| 10 |
+
"num_attention_heads": 10,
|
| 11 |
+
"num_key_value_heads": 5,
|
| 12 |
+
"head_dim": 128,
|
| 13 |
+
"hidden_act": "silu",
|
| 14 |
+
"rms_norm_eps": 1e-05,
|
| 15 |
+
"rope_theta": 10000.0,
|
| 16 |
+
"rope_scaling": null,
|
| 17 |
+
"max_position_embeddings": 1024,
|
| 18 |
+
"tie_word_embeddings": true,
|
| 19 |
+
"attention_bias": false,
|
| 20 |
+
"attention_dropout": 0.0,
|
| 21 |
+
"use_cache": true,
|
| 22 |
+
"sliding_window": null,
|
| 23 |
+
"use_sliding_window": false,
|
| 24 |
+
"torch_dtype": "float32",
|
| 25 |
+
"bos_token_id": 0,
|
| 26 |
+
"eos_token_id": 2,
|
| 27 |
+
"pad_token_id": 0
|
| 28 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token_id": 0,
|
| 3 |
+
"eos_token_id": 2,
|
| 4 |
+
"pad_token_id": 0
|
| 5 |
+
}
|
microgpt2-f16.gguf
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cc8fcf8f0c8dad481de9c03ed26d3f450efd2739f386478b0318ff0940d9dc90
|
| 3 |
+
size 1012637696
|
microgpt2-q8_0.gguf
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ab6f3aa3e28c41a700c11d1c45b81c569abd932b8ce07391e168b4299315b039
|
| 3 |
+
size 538935296
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b64e58bf835a56cf42b86c6156f2487bf121f96d8bfacc9c7ee49cf0880824cb
|
| 3 |
+
size 2021448328
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,36 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"backend": "tokenizers",
|
| 4 |
+
"bos_token": "<|endoftext|>",
|
| 5 |
+
"clean_up_tokenization_spaces": false,
|
| 6 |
+
"eos_token": "<|im_end|>",
|
| 7 |
+
"errors": "replace",
|
| 8 |
+
"extra_special_tokens": [
|
| 9 |
+
"<|endoftext|>",
|
| 10 |
+
"<|im_start|>",
|
| 11 |
+
"<|im_end|>",
|
| 12 |
+
"<repo_name>",
|
| 13 |
+
"<reponame>",
|
| 14 |
+
"<file_sep>",
|
| 15 |
+
"<filename>",
|
| 16 |
+
"<gh_stars>",
|
| 17 |
+
"<issue_start>",
|
| 18 |
+
"<issue_comment>",
|
| 19 |
+
"<issue_closed>",
|
| 20 |
+
"<jupyter_start>",
|
| 21 |
+
"<jupyter_text>",
|
| 22 |
+
"<jupyter_code>",
|
| 23 |
+
"<jupyter_output>",
|
| 24 |
+
"<jupyter_script>",
|
| 25 |
+
"<empty_output>"
|
| 26 |
+
],
|
| 27 |
+
"is_local": false,
|
| 28 |
+
"local_files_only": false,
|
| 29 |
+
"model_max_length": 1024,
|
| 30 |
+
"pad_token": "<|endoftext|>",
|
| 31 |
+
"tokenizer_class": "GPT2Tokenizer",
|
| 32 |
+
"unk_token": "<|endoftext|>",
|
| 33 |
+
"vocab_size": 49152,
|
| 34 |
+
"add_bos_token": false,
|
| 35 |
+
"add_eos_token": false
|
| 36 |
+
}
|