Instructions to use appvoid/cloud-06 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use appvoid/cloud-06 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="appvoid/cloud-06", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("appvoid/cloud-06") model = AutoModelForCausalLM.from_pretrained("appvoid/cloud-06", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use appvoid/cloud-06 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "appvoid/cloud-06" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "appvoid/cloud-06", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/appvoid/cloud-06
- SGLang
How to use appvoid/cloud-06 with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "appvoid/cloud-06" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "appvoid/cloud-06", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "appvoid/cloud-06" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "appvoid/cloud-06", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use appvoid/cloud-06 with Docker Model Runner:
docker model run hf.co/appvoid/cloud-06
Upload folder using huggingface_hub
Browse files- README.md +61 -0
- config.json +59 -0
- generation_config.json +7 -0
- mergekit_config.yml +26 -0
- model.safetensors +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +21 -0
README.md
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---
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base_model:
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- mkurman/LiquidAI-LFM2.5-350M-SYNTH
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- MihaiPopa-1/LFM2.5-350M-heretic
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- appvoid/palmer-005-core
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- squ11z1/claude-oss-350m
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library_name: transformers
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tags:
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- mergekit
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- merge
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---
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# merge
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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## Merge Details
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### Merge Method
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This model was merged using the [DARE TIES](https://arxiv.org/abs/2311.03099) merge method using [MihaiPopa-1/LFM2.5-350M-heretic](https://huggingface.co/MihaiPopa-1/LFM2.5-350M-heretic) as a base.
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### Models Merged
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The following models were included in the merge:
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* [mkurman/LiquidAI-LFM2.5-350M-SYNTH](https://huggingface.co/mkurman/LiquidAI-LFM2.5-350M-SYNTH)
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* [appvoid/palmer-005-core](https://huggingface.co/appvoid/palmer-005-core)
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* [squ11z1/claude-oss-350m](https://huggingface.co/squ11z1/claude-oss-350m)
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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merge_method: dare_ties
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base_model: MihaiPopa-1/LFM2.5-350M-heretic
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dtype: bfloat16
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parameters:
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normalize: false
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int8_mask: true
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models:
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# slot_1_strongest
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- model: mkurman/LiquidAI-LFM2.5-350M-SYNTH
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parameters:
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weight: 0.28
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density: 0.38
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+
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# slot_2_medium
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- model: squ11z1/claude-oss-350m
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parameters:
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weight: 0.22
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density: 0.34
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+
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# slot_3_light
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- model: appvoid/palmer-005-core
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parameters:
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weight: 0.14
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density: 0.28
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```
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config.json
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{
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| 2 |
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"architectures": [
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"Lfm2ForCausalLM"
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],
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| 5 |
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"block_auto_adjust_ff_dim": true,
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| 6 |
+
"block_dim": 1024,
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| 7 |
+
"block_ffn_dim_multiplier": 1.0,
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| 8 |
+
"block_mlp_init_scale": 1.0,
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| 9 |
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"block_multiple_of": 256,
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| 10 |
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"block_norm_eps": 1e-05,
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| 11 |
+
"block_out_init_scale": 1.0,
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"block_use_swiglu": true,
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| 13 |
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"block_use_xavier_init": true,
|
| 14 |
+
"bos_token_id": 1,
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| 15 |
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"conv_L_cache": 3,
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| 16 |
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"conv_bias": false,
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| 17 |
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"conv_dim": 1024,
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| 18 |
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"conv_use_xavier_init": true,
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"dtype": "bfloat16",
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| 20 |
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"eos_token_id": 7,
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| 21 |
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"hidden_size": 1024,
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| 22 |
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"initializer_range": 0.02,
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| 23 |
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"intermediate_size": 6656,
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"layer_types": [
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"conv",
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"conv",
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"full_attention",
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"conv",
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"conv",
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"full_attention",
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"conv",
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"conv",
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"full_attention",
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"conv",
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"full_attention",
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| 36 |
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"conv",
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"full_attention",
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| 38 |
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"conv",
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"full_attention",
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"conv"
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],
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| 42 |
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"max_position_embeddings": 128000,
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"model_type": "lfm2",
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"norm_eps": 1e-05,
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"num_attention_heads": 16,
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| 46 |
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"num_heads": 16,
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| 47 |
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"num_hidden_layers": 16,
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"num_key_value_heads": 8,
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| 49 |
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"pad_token_id": 0,
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| 50 |
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"rope_parameters": {
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"rope_theta": 1000000.0,
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| 52 |
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"rope_type": "default"
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| 53 |
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},
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| 54 |
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"rope_theta": 1000000.0,
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| 55 |
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"transformers_version": "4.57.6",
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| 56 |
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"use_cache": true,
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| 57 |
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"use_pos_enc": true,
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"vocab_size": 65536
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}
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generation_config.json
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{
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"_from_model_config": true,
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| 3 |
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"bos_token_id": 1,
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| 4 |
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"eos_token_id": 7,
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| 5 |
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"pad_token_id": 0,
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| 6 |
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"transformers_version": "5.5.3"
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}
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mergekit_config.yml
ADDED
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merge_method: dare_ties
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| 2 |
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base_model: MihaiPopa-1/LFM2.5-350M-heretic
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| 3 |
+
dtype: bfloat16
|
| 4 |
+
|
| 5 |
+
parameters:
|
| 6 |
+
normalize: false
|
| 7 |
+
int8_mask: true
|
| 8 |
+
|
| 9 |
+
models:
|
| 10 |
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# slot_1_strongest
|
| 11 |
+
- model: mkurman/LiquidAI-LFM2.5-350M-SYNTH
|
| 12 |
+
parameters:
|
| 13 |
+
weight: 0.28
|
| 14 |
+
density: 0.38
|
| 15 |
+
|
| 16 |
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# slot_2_medium
|
| 17 |
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- model: squ11z1/claude-oss-350m
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| 18 |
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parameters:
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| 19 |
+
weight: 0.22
|
| 20 |
+
density: 0.34
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| 21 |
+
|
| 22 |
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# slot_3_light
|
| 23 |
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- model: appvoid/palmer-005-core
|
| 24 |
+
parameters:
|
| 25 |
+
weight: 0.14
|
| 26 |
+
density: 0.28
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model.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
|
| 2 |
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oid sha256:e8e653c9609494a944e36c3939cdf2cd46d28fdfcd348ae0bb8f02729b341c2f
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| 3 |
+
size 708984464
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tokenizer.json
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The diff for this file is too large to render.
See raw diff
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tokenizer_config.json
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{
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| 2 |
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"backend": "tokenizers",
|
| 3 |
+
"bos_token": "<|startoftext|>",
|
| 4 |
+
"clean_up_tokenization_spaces": false,
|
| 5 |
+
"eos_token": "<|im_end|>",
|
| 6 |
+
"extra_special_tokens": [],
|
| 7 |
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"is_local": false,
|
| 8 |
+
"legacy": false,
|
| 9 |
+
"model_input_names": [
|
| 10 |
+
"input_ids",
|
| 11 |
+
"attention_mask"
|
| 12 |
+
],
|
| 13 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 14 |
+
"model_specific_special_tokens": {},
|
| 15 |
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"pad_token": "<|pad|>",
|
| 16 |
+
"sp_model_kwargs": {},
|
| 17 |
+
"spaces_between_special_tokens": false,
|
| 18 |
+
"tokenizer_class": "TokenizersBackend",
|
| 19 |
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"use_default_system_prompt": false,
|
| 20 |
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"use_fast": true
|
| 21 |
+
}
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