Instructions to use PollardWeights/LFM2.5-24B-A2B-Pollard with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use PollardWeights/LFM2.5-24B-A2B-Pollard with Trellis:

# No code snippets available yet for this library.

# To use this model, check the repository files and the library's documentation.

# Want to help? PRs adding snippets are welcome at:
# https://github.com/huggingface/huggingface.js

MLX

How to use PollardWeights/LFM2.5-24B-A2B-Pollard with MLX:

# Make sure mlx-lm is installed
# pip install --upgrade mlx-lm

# Generate text with mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("PollardWeights/LFM2.5-24B-A2B-Pollard")

prompt = "Write a story about Einstein"
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
    messages, add_generation_prompt=True
)

text = generate(model, tokenizer, prompt=prompt, verbose=True)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use PollardWeights/LFM2.5-24B-A2B-Pollard 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 PollardWeights/LFM2.5-24B-A2B-Pollard:IQ2_XXS
# Run inference directly in the terminal:
llama cli -hf PollardWeights/LFM2.5-24B-A2B-Pollard:IQ2_XXS

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf PollardWeights/LFM2.5-24B-A2B-Pollard:IQ2_XXS
# Run inference directly in the terminal:
llama cli -hf PollardWeights/LFM2.5-24B-A2B-Pollard:IQ2_XXS

Build from source code

git clone https://github.com/ggml-org/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-app
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama serve -hf PollardWeights/LFM2.5-24B-A2B-Pollard:IQ2_XXS
# Run inference directly in the terminal:
./build/bin/llama cli -hf PollardWeights/LFM2.5-24B-A2B-Pollard:IQ2_XXS

Use Docker

docker model run hf.co/PollardWeights/LFM2.5-24B-A2B-Pollard:IQ2_XXS

Llama new
LM Studio
Jan

vLLM

How to use PollardWeights/LFM2.5-24B-A2B-Pollard with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "PollardWeights/LFM2.5-24B-A2B-Pollard"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "PollardWeights/LFM2.5-24B-A2B-Pollard",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/PollardWeights/LFM2.5-24B-A2B-Pollard:IQ2_XXS

Ollama
How to use PollardWeights/LFM2.5-24B-A2B-Pollard with Ollama:
```
ollama run hf.co/PollardWeights/LFM2.5-24B-A2B-Pollard:IQ2_XXS
```
Unsloth Desktop

How to use PollardWeights/LFM2.5-24B-A2B-Pollard with Pi:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "PollardWeights/LFM2.5-24B-A2B-Pollard"

Configure the model in Pi

# Install Pi:
npm install -g @earendil-works/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "mlx-lm": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "PollardWeights/LFM2.5-24B-A2B-Pollard"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

MLX LM

How to use PollardWeights/LFM2.5-24B-A2B-Pollard with MLX LM:

Generate or start a chat session

# Install MLX LM
uv tool install mlx-lm
# Interactive chat REPL
mlx_lm.chat --model "PollardWeights/LFM2.5-24B-A2B-Pollard"

Run an OpenAI-compatible server

# Install MLX LM
uv tool install mlx-lm
# Start the server
mlx_lm.server --model "PollardWeights/LFM2.5-24B-A2B-Pollard"
# Calling the OpenAI-compatible server with curl
curl -X POST "http://localhost:8000/v1/chat/completions" \
   -H "Content-Type: application/json" \
   --data '{
     "model": "PollardWeights/LFM2.5-24B-A2B-Pollard",
     "messages": [
       {"role": "user", "content": "Hello"}
     ]
   }'

Docker Model Runner
How to use PollardWeights/LFM2.5-24B-A2B-Pollard with Docker Model Runner:
```
docker model run hf.co/PollardWeights/LFM2.5-24B-A2B-Pollard:IQ2_XXS
```

Lemonade

How to use PollardWeights/LFM2.5-24B-A2B-Pollard with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull PollardWeights/LFM2.5-24B-A2B-Pollard:IQ2_XXS

Run and chat with the model

lemonade run user.LFM2.5-24B-A2B-Pollard-IQ2_XXS

List all available models

lemonade list

Hermes Agent

How to use PollardWeights/LFM2.5-24B-A2B-Pollard with Hermes Agent:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "PollardWeights/LFM2.5-24B-A2B-Pollard"

Configure Hermes

# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default PollardWeights/LFM2.5-24B-A2B-Pollard

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use PollardWeights/LFM2.5-24B-A2B-Pollard with OpenClaw:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "PollardWeights/LFM2.5-24B-A2B-Pollard"

Configure OpenClaw

# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
  --auth-choice custom-api-key \
  --custom-base-url http://127.0.0.1:8080/v1 \
  --custom-model-id "PollardWeights/LFM2.5-24B-A2B-Pollard" \
  --custom-provider-id mlx-lm \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

westwaters commited on 21 days ago

Commit

c900736

verified ·

1 Parent(s): 9f5efe7

Upload folder using huggingface_hub

Browse files

Files changed (13) hide show

.gitattributes +1 -0
MLX/6bit/README.md +7 -0
MLX/6bit/chat_template.jinja +125 -0
MLX/6bit/config.json +2161 -0
MLX/6bit/generation_config.json +16 -0
MLX/6bit/model-00001-of-00005.safetensors +3 -0
MLX/6bit/model-00002-of-00005.safetensors +3 -0
MLX/6bit/model-00003-of-00005.safetensors +3 -0
MLX/6bit/model-00004-of-00005.safetensors +3 -0
MLX/6bit/model-00005-of-00005.safetensors +3 -0
MLX/6bit/model.safetensors.index.json +954 -0
MLX/6bit/tokenizer.json +3 -0
MLX/6bit/tokenizer_config.json +14 -0

.gitattributes CHANGED Viewed

@@ -42,3 +42,4 @@ LFM2.5-24B-A2B.imatrix filter=lfs diff=lfs merge=lfs -text
 MLX/3bit/tokenizer.json filter=lfs diff=lfs merge=lfs -text
 MLX/4bit/tokenizer.json filter=lfs diff=lfs merge=lfs -text
 GPTQ/int4/tokenizer.json filter=lfs diff=lfs merge=lfs -text

 MLX/3bit/tokenizer.json filter=lfs diff=lfs merge=lfs -text
 MLX/4bit/tokenizer.json filter=lfs diff=lfs merge=lfs -text
 GPTQ/int4/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+MLX/6bit/tokenizer.json filter=lfs diff=lfs merge=lfs -text

MLX/6bit/README.md ADDED Viewed

	@@ -0,0 +1,7 @@

+---
+language: en
+library_name: mlx
+pipeline_tag: text-generation
+tags:
+- mlx
+---

MLX/6bit/chat_template.jinja ADDED Viewed

	@@ -0,0 +1,125 @@

+{{- bos_token -}}
+{%- set preserve_thinking = preserve_thinking | default(false) -%}
+{%- macro format_arg_value(arg_value) -%}
+    {%- if arg_value is string -%}
+        {{- "'" + (arg_value | replace("\\", "\\\\") | replace("'", "\\'") | replace("\n", "\\n") | replace("\r", "\\r")) + "'" -}}
+    {%- elif arg_value is mapping or arg_value is iterable -%}
+        {{- arg_value | tojson -}}
+    {%- else -%}
+        {{- arg_value | string -}}
+    {%- endif -%}
+{%- endmacro -%}
+{%- macro parse_content(content) -%}
+    {%- if content is string -%}
+        {{- content -}}
+    {%- elif content is mapping -%}
+        {{- content | tojson -}}
+    {%- elif content is iterable -%}
+        {%- set _ns = namespace(result="") -%}
+        {%- for item in content -%}
+            {%- if item is string -%}
+                {%- set _ns.result = _ns.result + item -%}
+            {%- elif item is mapping and item.get("type") == "image" -%}
+                {%- set _ns.result = _ns.result + "<image>" -%}
+            {%- elif item is mapping and item.get("type") == "text" -%}
+                {%- set _ns.result = _ns.result + ((item.get("text") or "") | string) -%}
+            {%- else -%}
+                {%- set _ns.result = _ns.result + (item | tojson) -%}
+            {%- endif -%}
+        {%- endfor -%}
+        {{- _ns.result -}}
+    {%- endif -%}
+{%- endmacro -%}
+{%- macro render_tool_calls(tool_calls) -%}
+    {%- set tool_calls_ns = namespace(tool_calls=[]) -%}
+    {%- for tool_call in tool_calls -%}
+        {%- set func = tool_call["function"] if "function" in tool_call else tool_call -%}
+        {%- set func_name = func["name"] -%}
+        {%- set func_args = func.get("arguments") -%}
+        {%- set args_ns = namespace(arg_strings=[]) -%}
+        {%- if func_args is mapping -%}
+            {%- for arg_name, arg_value in func_args.items() -%}
+                {%- set args_ns.arg_strings = args_ns.arg_strings + [arg_name + "=" + format_arg_value(arg_value)] -%}
+            {%- endfor -%}
+        {%- elif func_args is string and (func_args | trim) not in ["", "{}", "null"] -%}
+            {{- raise_exception("Tool call arguments must be a mapping, got a JSON-encoded string: parse arguments with json.loads() before applying the chat template") -}}
+        {%- endif -%}
+        {%- set tool_calls_ns.tool_calls = tool_calls_ns.tool_calls + [func_name + "(" + (args_ns.arg_strings | join(", ")) + ")"] -%}
+    {%- endfor -%}
+    {{- "<|tool_call_start|>[" + (tool_calls_ns.tool_calls | join(", ")) + "]<|tool_call_end|>" -}}
+{%- endmacro -%}
+{%- set ns = namespace(system_prompt="", last_user_index=-1) -%}
+{%- if messages and messages[0]["role"] == "system" -%}
+    {%- if messages[0].get("content") -%}
+        {%- set ns.system_prompt = parse_content(messages[0]["content"]) -%}
+    {%- endif -%}
+    {%- set messages = messages[1:] -%}
+{%- endif -%}
+{%- if tools -%}
+    {%- set ns.system_prompt = ns.system_prompt + ("\n" if ns.system_prompt else "") + "List of tools: [" -%}
+    {%- for tool in tools -%}
+        {%- if tool is not string -%}
+            {%- set tool = tool | tojson -%}
+        {%- endif -%}
+        {%- set ns.system_prompt = ns.system_prompt + tool -%}
+        {%- if not loop.last -%}
+            {%- set ns.system_prompt = ns.system_prompt + ", " -%}
+        {%- endif -%}
+    {%- endfor -%}
+    {%- set ns.system_prompt = ns.system_prompt + "]" -%}
+{%- endif -%}
+{%- if ns.system_prompt -%}
+    {{- "<|im_start|>system\n" + ns.system_prompt + "<|im_end|>\n" -}}
+{%- endif -%}
+{%- for message in messages -%}
+    {%- if message["role"] == "user" -%}
+        {%- set ns.last_user_index = loop.index0 -%}
+    {%- endif -%}
+{%- endfor -%}
+{%- for message in messages -%}
+    {{- "<|im_start|>" + message.role + "\n" -}}
+    {%- if message.role == "assistant" -%}
+        {%- generation -%}
+        {%- set keep_thinking = preserve_thinking or loop.index0 > ns.last_user_index -%}
+        {%- set thinking = message.thinking or message.reasoning or message.reasoning_content -%}
+        {%- set thinking = thinking if thinking is string else "" -%}
+        {%- if thinking and keep_thinking -%}
+            {{- "<think>" + thinking + "</think>" -}}
+        {%- endif -%}
+        {%- set _cfm_tag = "CONTINUE_FINAL_MESSAGE_TAG " -%}
+        {%- set _has_cfm = false -%}
+        {%- set content = "" -%}
+        {%- if message.get("content") -%}
+            {%- set content = parse_content(message.content) -%}
+        {%- endif -%}
+        {%- if not keep_thinking and "</think>" in content -%}
+            {%- set content = content.split("</think>")[-1] | trim -%}
+        {%- endif -%}
+        {%- if content.endswith(_cfm_tag) -%}
+            {%- set _has_cfm = true -%}
+            {%- set _trunc_len = (content | length) - (_cfm_tag | length) -%}
+            {%- set content = content[:_trunc_len] -%}
+        {%- endif -%}
+        {{- content -}}
+        {%- if message.tool_calls -%}
+            {{- render_tool_calls(message.tool_calls) -}}
+        {%- endif -%}
+        {%- if _has_cfm -%}
+            {{- _cfm_tag -}}
+        {%- endif -%}
+        {{- "<|im_end|>\n" -}}
+        {%- endgeneration -%}
+    {%- else %}
+        {%- if message.get("content") -%}
+            {{- parse_content(message["content"]) -}}
+        {%- endif -%}
+        {{- "<|im_end|>\n" -}}
+    {%- endif %}
+{%- endfor -%}
+{%- if add_generation_prompt -%}
+    {{- "<|im_start|>assistant\n<think>" -}}
+{%- endif -%}

MLX/6bit/config.json ADDED Viewed

	@@ -0,0 +1,2161 @@

+{
+    "architectures": [
+        "Lfm2MoeForCausalLM"
+    ],
+    "bos_token_id": 124894,
+    "conv_L_cache": 3,
+    "conv_bias": false,
+    "dtype": "bfloat16",
+    "eos_token_id": [
+        124900
+    ],
+    "hidden_size": 2048,
+    "initializer_range": 0.02,
+    "intermediate_size": 11776,
+    "layer_types": [
+        "conv",
+        "conv",
+        "full_attention",
+        "conv",
+        "conv",
+        "conv",
+        "full_attention",
+        "conv",
+        "conv",
+        "conv",
+        "full_attention",
+        "conv",
+        "conv",
+        "conv",
+        "full_attention",
+        "conv",
+        "conv",
+        "conv",
+        "full_attention",
+        "conv",
+        "conv",
+        "conv",
+        "full_attention",
+        "conv",
+        "conv",
+        "conv",
+        "full_attention",
+        "conv",
+        "conv",
+        "conv",
+        "full_attention",
+        "conv",
+        "conv",
+        "conv",
+        "full_attention",
+        "conv",
+        "conv",
+        "conv",
+        "full_attention",
+        "conv"
+    ],
+    "max_position_embeddings": 131072,
+    "model_type": "lfm2_moe",
+    "moe_intermediate_size": 1536,
+    "norm_eps": 1e-05,
+    "norm_topk_prob": true,
+    "num_attention_heads": 32,
+    "num_dense_layers": 2,
+    "num_experts": 64,
+    "num_experts_per_tok": 4,
+    "num_hidden_layers": 40,
+    "num_key_value_heads": 8,
+    "pad_token_id": 124893,
+    "quantization": {
+        "group_size": 64,
+        "bits": 6,
+        "mode": "affine",
+        "model.embed_tokens": {
+            "bits": 8,
+            "group_size": 64
+        },
+        "model.layers.0.conv.in_proj": {
+            "bits": 6,
+            "group_size": 64
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+            "group_size": 64
+        },
+        "model.layers.2.self_attn.out_proj": {
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+            "group_size": 64
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+        "model.layers.2.feed_forward.gate": {
+            "bits": 8,
+            "group_size": 64
+        },
+        "model.layers.2.feed_forward.switch_mlp.gate_proj": {
+            "bits": 6,
+            "group_size": 64
+        },
+        "model.layers.2.feed_forward.switch_mlp.up_proj": {
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+            "group_size": 64
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+            "group_size": 64
+        },
+        "model.layers.5.feed_forward.switch_mlp.up_proj": {
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+            "group_size": 64
+        },
+        "model.layers.5.feed_forward.switch_mlp.down_proj": {
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+            "group_size": 64
+        },
+        "model.layers.6.self_attn.q_proj": {
+            "bits": 6,
+            "group_size": 64
+        },
+        "model.layers.6.self_attn.k_proj": {
+            "bits": 6,
+            "group_size": 64
+        },
+        "model.layers.6.self_attn.v_proj": {
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+            "group_size": 64
+        },
+        "model.layers.6.self_attn.out_proj": {
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+            "group_size": 64
+        },
+        "model.layers.6.feed_forward.gate": {
+            "bits": 8,
+            "group_size": 64
+        },
+        "model.layers.6.feed_forward.switch_mlp.gate_proj": {
+            "bits": 6,
+            "group_size": 64
+        },
+        "model.layers.6.feed_forward.switch_mlp.up_proj": {
+            "bits": 6,
+            "group_size": 64
+        },
+        "model.layers.6.feed_forward.switch_mlp.down_proj": {
+            "bits": 6,
+            "group_size": 64
+        },
+        "model.layers.7.conv.in_proj": {
+            "bits": 6,
+            "group_size": 64
+        },
+        "model.layers.7.conv.out_proj": {
+            "bits": 6,
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